Publications

@article{gonzalez-toledo_spheroidal_2024,

title = {The spheroidal trackball: generalising the fixed trackball for virtual camera navigation},

author = {Daniel González-Toledo and María Cuevas-Rodríguez and Luis Molina-Tanco and Arcadio Reyes-Lecuona},

url = {https://doi.org/10.1007/s00371-023-03250-w},

doi = {10.1007/s00371-023-03250-w},

issn = {1432-2315},

year  = {2024},

date = {2024-02-01},

journal = {The Visual Computer},

abstract = {Virtual trackball techniques have become a standard in 3D applications, particularly for interfaces with limited degrees of freedom such as touchscreens or mice. The fact that we are used to them does not mean that they cannot be improved upon. Recent research has highlighted the significance of considering users’ mental models of a preferred rotation axis, as it can improve performance, perceived usability and perceived workload. Building upon these findings, this paper introduces the spheroidal trackball framework—a novel method for orbiting the virtual camera around elongated objects. The paper presents the mathematical formulation and the evaluation of the technique. The formulation offers enough information to implement the approach. The evaluation shows the advantages of this approach over the fixed spherical trackball for this class of objects, in terms of task performance, usability and perceived workload. This research constitutes an advancement in the refinement of 3D user interaction techniques, opening new avenues of innovation in this still evolving field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10.1121/10.0024239,

title = {Spatial release from masking in the median plane with non-native speakers using individual and mannequin head related transfer functions},

author = {Daniel González-Toledo and María Cuevas-Rodríguez and Thibault Vicente and Lorenzo Picinali and Luis Molina-Tanco and Arcadio Reyes-Lecuona},

url = {https://doi.org/10.1121/10.0024239},

doi = {10.1121/10.0024239},

issn = {0001-4966},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {The Journal of the Acoustical Society of America},

volume = {155},

number = {1},

pages = {284-293},

abstract = {Spatial release from masking (SRM) in speech-on-speech tasks has been widely studied in the horizontal plane, where interaural cues play a fundamental role. Several studies have also observed SRM for sources located in the median plane, where (monaural) spectral cues are more important. However, a relatively unexplored research question concerns the impact of head-related transfer function (HRTF) personalisation on SRM, for example, whether using individually-measured HRTFs results in better performance if compared with the use of mannequin HRTFs. This study compares SRM in the median plane in a speech-on-speech virtual task rendered using both individual and mannequin HRTFs. SRM is obtained using English sentences with non-native English speakers. Our participants show lower SRM performances compared to those found by others using native English participants. Furthermore, SRM is significantly larger when the source is spatialised using the individual HRTF, and this effect is more marked for those with lower English proficiency. Further analyses using a spectral distortion metric and the estimation of the better-ear effect, show that the observed SRM can only partially be explained by HRTF-specific factors and that the effect of the familiarity with individual spatial cues is likely to be the most significant element driving these results.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{10699316,

title = {Swarm Robot Communications in ROS 2: An Experimental Study},

author = {José-Borja Castillo-Sánchez and Eva González-Parada and José-Manuel Cano-García},

doi = {10.1109/ACCESS.2024.3470254},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Access},

volume = {12},

pages = {142930-142943},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{technologies12090166,

title = {Wearable Fall Detectors Based on Low Power Transmission 

Systems: A Systematic Review},

author = {Manny Villa and Eduardo Casilari},

url = {https://www.mdpi.com/2227-7080/12/9/166},

doi = {10.3390/technologies12090166},

issn = {2227-7080},

year  = {2024},

date = {2024-01-01},

journal = {Technologies},

volume = {12},

number = {9},

abstract = {Early attention to individuals who suffer falls is a critical aspect when determining the consequences of such accidents, which are among the leading causes of mortality and disability in older adults. For this reason and considering the high number of older adults living alone, the development of automatic fall alerting systems has garnered significant research attention over the past decade. A key element for deploying a fall detection system (FDS) based on wearables is the wireless transmission method employed to transmit the medical alarms. In this regard, the vast majority of prototypes in the related literature utilize short-range technologies, such as Bluetooth, which must be complemented by the existence of a gateway device (e.g., a smartphone). In other studies, standards like Wi-Fi or 3G communications are proposed, which offer greater range but come with high power consumption, which can be unsuitable for most wearables, and higher service fees. In addition, they require reliable radio coverage, which is not always guaranteed in all application scenarios. An interesting alternative to these standards is Low Power Wide Area Network (LPWAN) technologies, which minimize both energy consumption and hardware costs while maximizing transmission range. This article provides a comprehensive search and review of that works in the literature that have implemented and evaluated wearable FDSs utilizing LPWAN interfaces to transmit alarms. The review systematically examines these proposals, considering various operational aspects and identifying key areas that have not yet been adequately addressed for the viable implementation of such detectors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{CASILARI2024110731,

title = {UMAHand: A dataset of inertial signals of typical hand activities},

author = {Eduardo Casilari and Jennifer Barbosa-Galeano and Francisco J. González-Cañete},

url = {https://www.sciencedirect.com/science/article/pii/S235234092400698X},

doi = {https://doi.org/10.1016/j.dib.2024.110731},

issn = {2352-3409},

year  = {2024},

date = {2024-01-01},

journal = {Data in Brief},

volume = {55},

pages = {110731},

abstract = {Given the popularity of wrist-worn devices, particularly smartwatches, the identification of manual movement patterns has become of utmost interest within the research field of Human Activity Recognition (HAR) systems. In this context, by leveraging the numerous sensors natively embedded in smartwatches, the HAR functionalities that can be implemented in a watch via software and in a very cost-efficient way cover a wide variety of applications, ranging from fitness trackers to gesture detectors aimed at disabled individuals (e.g., for sending alarms), promoting behavioral activation or healthy lifestyle habits. In this regard, for the development of artificial intelligence algorithms capable of effectively discriminating these activities, it is of great importance to have repositories of movements that allow the scientific community to train, evaluate, and benchmark new proposals of movement detectors. The UMAHand dataset offers a collection of files containing the signals captured by a Shimmer 3 sensor node, which includes an accelerometer, a gyroscope, a magnetometer and a barometer, during the execution of different typical hand movements. For that purpose, the measurements from these four sensors, gathered at a sampling rate of 100 Hz, were taken from a group of 25 volunteers (16 females and 9 males), aged between 18 and 56, during the performance of 29 daily life activities involving hand mobility. Participants wore the sensor node on their dominant hand throughout the experiments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SILVA2024110621,

title = {UMATUG: A dataset of inertial signals of older and young adults using a gerontologic simulator collected during instrumented Timed Up and Go (iTUG) tests},

author = {Carlos A. Silva and Eduardo Casilari and Rodolfo García-Bermúdez},

url = {https://www.sciencedirect.com/science/article/pii/S2352340924005882},

doi = {https://doi.org/10.1016/j.dib.2024.110621},

issn = {2352-3409},

year  = {2024},

date = {2024-01-01},

journal = {Data in Brief},

volume = {55},

pages = {110621},

abstract = {Timed Up and Go (TUG) test is one of the most popular clinical tools aimed at the assessment of functional mobility and fall risk in older adults. The automation of the analysis of TUG movements is of great medical interest not only to speed up the test but also to maximize the information inferred from the subjects under study. In this context, this article describes a dataset collected from a cohort of 69 experimental subjects (including 30 adults over 60 years), during the execution of several repetitions of the TUG test. In particular, the dataset includes the measurements gathered with four wearables devices embedding four sensors (accelerometer, gyroscope magnetometer and 

barometer) located on four body locations (waist, wrist, ankle and chest). As a particularity, the dataset also includes the same measurements recorded when the young subjects repeat the test while wearing a commercial geriatric simulator, consisting of a set of weighted vests and other elements intended to replicate the limitations caused by aging. Thus, the generated dataset also enables the investigation into the potential of such tools to emulate the actual dynamics of older individuals.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SILVA2024114992,

title = {Cross-dataset evaluation of wearable fall detection systems using data from real falls and long-term monitoring of daily life},

author = {Carlos A. Silva and Eduardo Casilari and Rodolfo García-Bermúdez},

url = {https://www.sciencedirect.com/science/article/pii/S0263224124008777},

doi = {https://doi.org/10.1016/j.measurement.2024.114992},

issn = {0263-2241},

year  = {2024},

date = {2024-01-01},

journal = {Measurement},

volume = {235},

pages = {114992},

abstract = {The evaluation of fall detection systems based on wearables is controversial as most studies in the literature benchmark their proposals against falls that are simulated by experimental subjects under unrealistic laboratory conditions. In order to systematically investigate the suitability of this procedure, this paper evaluates a wide set of artificial intelligence algorithms used for fall detection, when trained with a large number of datasets containing acceleration samples captured during the emulation of falls and ordinary movements and then tested with the signals of both actual falls and long-term traces collected from the constant monitoring of users during their daily routines. The results, based on a large number of repositories, show a remarkable degradation in all performance metrics (sensitivity, specificity and false alarm hourly rate) with respect to the typical case in which the detectors are tested with the same types of laboratory movements for which they were trained.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sti/2023,

title = {Still room for improvement in traditional 3D interaction: selecting the fixed axis in the virtual trackball},

author = {Daniel González Toledo and María Cuevas-Rodríguez and Luis Molina-Tanco and Arcadio Reyes-Lecuona},

url = {https://link.springer.com/article/10.1007/s00371-021-02394-x},

doi = {10.1007/s00371-021-02394-x},

year  = {2023},

date = {2023-03-01},

urldate = {2022-01-01},

journal = {The Visual Computer},

volume = {39},

pages = {1149–1162},

abstract = {Virtual trackball techniques are widely used when 3D interaction is performed through interfaces with a reduced number of degrees of freedom such as mice and touchscreens. For decades, most implementations fix a vertical axis of rotation, which is a suitable choice when the vertical axis should indeed be fixed, according to some mental model of the user. We conducted an experiment involving the use of a mouse and a touch device to study usability in terms of performance, perceived usability and mental workload when selecting different fixed axes in accordance with the user’s mental model. The results we obtained indicate that the consistency between the axis fixed by the technique and the object’s intrinsic axis has a positive effect on usability. We believe that implementations that allow to select different fixed axis for each specific object should be considered when designing future reduced-DoF interaction interfaces.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{agriculture13101900,

title = {Design and Implementation of Internet of Things (IoT) Platform Targeted for Smallholder Farmers: From Nepal Perspective},

author = {Ritu Raj Lamsal and P. Karthikeyan and Pablo Otero and Alfonso Ariza},

url = {https://www.mdpi.com/2077-0472/13/10/1900},

doi = {10.3390/agriculture13101900},

issn = {2077-0472},

year  = {2023},

date = {2023-01-01},

journal = {Agriculture},

volume = {13},

number = {10},

abstract = {Nepal, a lower-middle-income country in South Asia, predominantly features smallholder farming communities operating on modest land holdings. These smallholders often adhere to traditional farming methods, relying on familial labor, which has become increasingly inefficient in contemporary agricultural landscapes. To enhance their productivity and efficiency, smallholder farmers require affordable and accessible Internet of Things (IoT)-based systems. However, the prevailing IoT solutions in the market primarily cater to large-scale commercial enterprises, rendering them unsuitable for the specific needs and constraints faced by smallholder farmers. In response to this gap, we have introduced a cost-effective, customizable, scalable, and dependable IoT platform tailored expressly for smallholder farmers. This platform empowers them to visualize, monitor, and control real-time data pertaining to their crops, livestock, and other agricultural assets. To ascertain the efficacy and suitability of our proposed platform, we conducted a comparative analysis with existing counterparts such as Blynk IoT and ThingSpeak IoT, evaluating their respective features and application services against standard requirements. Additionally, we subjected our platform to rigorous server load testing, assessing crucial performance parameters including throughput, response time, user capacity, and data sampling rates. Over an observation period spanning an average of 339 days, our platform successfully processed and stored a substantial volume of data, encompassing 817,633 sensor messages, averaging 2412 messages per day, with a cumulative storage size of 14,238.28 KB. Extrapolating from these results, it is noteworthy that an A0 instance with 20 GB of cloud space can adequately accommodate 200 users at a rate of 100 MB per user, which is adequate for the smallholder needs. Furthermore, the purposed platform was deployed inside a polyhouse to perform off-season grafting of citrus plants. The achieved success rate of 84% closely approached the success rate of 90-95% observed during on-season grafting. These empirical findings, coupled with the extensive data gathered during our research, underscore the reliability and performance of our proposed IoT platform for smallholder farmers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SHARIFIAN2023120404,

title = {Sin-Cos-bIAVOA: A new feature selection method based on improved African vulture optimization algorithm and a novel transfer function to DDoS attack detection},

author = {Zakieh Sharifian and Behrang Barekatain and Alfonso Ariza Quintana and Zahra Beheshti and Faramarz Safi-Esfahani},

url = {https://www.sciencedirect.com/science/article/pii/S0957417423009065},

doi = {https://doi.org/10.1016/j.eswa.2023.120404},

issn = {0957-4174},

year  = {2023},

date = {2023-01-01},

journal = {Expert Systems with Applications},

volume = {228},

pages = {120404},

abstract = {Internet of Things (IoT) services and devices have raised numerous challenges such as connectivity, computation, and security. Therefore, networks should provide and maintain quality services. Nowadays, Distributed Denial-of-Service (DDoS) attack is the most important network attacks according to recent studies. Among the variety of DDoS detection methods, Machine Learning (ML) algorithms have attracted researchers. In ML, the selection of optimal subset of features can have a significant role to enhance the classification rate. This problem called the feature selection problem is in the class of NP-hard problems and exact algorithms cannot obtain the best results in acceptable time. Therefore, approximate algorithms like meta-heuristic algorithms are employed to solve the problem. Since these algorithms do not search all solution space, they fall in local optima and provide a premature convergence rate. Several methods have been introduced so far to address these challenges but researchers try to find new strategies for enhancing the performance of methods. In this study, a binary Improved African Vulture Optimization Algorithm (Sin-Cos-bIAVOA) is proposed to select effective features of DDoS attacks. The method applies a novel compound transfer function (Sin-Cos) to increase exploration. To select the optimal subset of features, Gravitational Fixed Radius Nearest Neighbor (GFRNN) is employed as the classifier in the method. Moreover, AVOA is improved in three phases including exploration, balancing exploration and exploitation, and exploitation phases. Hence, Sin-Cos-bIAVOA explores promising areas to achieve the best solution and avoid the local optima traps. The proposed method’s performance is compared with some recent state-of-the-art in two datasets, CIC-DDOS2019 and NSL-KDD for the DDoS attack detection. The experiment results show that the proposed method achieves the minimum feature selection rate (0.0184) with the high average accuracy (99.9979%), precision (99.9979%), recall (100.00%), and F-measure (99.9989%) compared with competitors in the first scenario with 1% attack rate in CIC-DDOS2019 dataset. In addition, the results of Friedman test based on fitness functions indicate that Sin-Cos-bIAVOA has the first rank among comparative algorithms. The source code of Sin-Cos-bIAVOA is publicly available at https://www.mathworks.com/matlabcentral/fileexchange/129409-sin-cos-biavoa-a-new-feature-selection-method.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{jmse11040682,

title = {Underwater Positioning System Based on Drifting Buoys and Acoustic Modems},

author = {Pablo Otero and Álvaro Hernández-Romero and Miguel-Ángel Luque-Nieto and Alfonso Ariza},

url = {https://www.mdpi.com/2077-1312/11/4/682},

doi = {10.3390/jmse11040682},

issn = {2077-1312},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Marine Science and Engineering},

volume = {11},

number = {4},

abstract = {GNSS (Global Navigation Satellite System) positioning is not available underwater due to the very short range of electromagnetic waves in the sea water medium. In this article a LBL (Long Base Line) acoustic repeater system of the GNSS positioning is presented. The system is hyperbolic, i.e., based on time differences and it does not need very accurate atomic clocks to synchronize repeaters. The system architecture and system calculations that demonstrate the feasibility of the solution are presented. The system uses four buoys that sequentially transmit their position and the time of the instant of transmission, for which they are equipped with GNSS receivers and acoustic modems. The buoys can be fixed or even drifting, but they are inexpensive devices, which pose no hazard to navigation and can be easily and quickly deployed for a specific underwater mission. The multilateration algorithm used in the receiver is presented. To simplify the algorithm, the depth of the receiver, measured by a depth sensor, is used. Results are presented for the position error of an underwater vehicle due to its displacement during the transmission frame of the four buoys.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ron-Angevin2023,

title = {Comparison of Two Paradigms Based on Stimulation with Images in a Spelling Brain–Computer Interface},

author = {Ricardo Ron-Angevin and Álvaro Fernández-Rodríguez and Clara Dupont and Jeanne Maigrot and Juliette Meunier and Hugo Tavard and Véronique Lespinet-Najib and Jean-Marc André},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147923784&doi=10.3390%2fs23031304&partnerID=40&md5=0f5fe843d93e8501ee978763220e27e1},

doi = {10.3390/s23031304},

issn = {14248220},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Sensors},

volume = {23},

number = {3},

publisher = {MDPI},

abstract = {A P300-based speller can be used to control a home automation system via brain activity. Evaluation of the visual stimuli used in a P300-based speller is a common topic in the field of brain–computer interfaces (BCIs). The aim of the present work is to compare, using the usability approach, two types of stimuli that have provided high performance in previous studies. Twelve participants controlled a BCI under two conditions, which varied in terms of the type of stimulus employed: a red famous face surrounded by a white rectangle (RFW) and a range of neutral pictures (NPs). The usability approach included variables related to effectiveness (accuracy and information transfer rate), efficiency (stress and fatigue), and satisfaction (pleasantness and System Usability Scale and Affect Grid questionnaires). The results indicated that there were no significant differences in effectiveness, but the system that used NPs was reported as significantly more pleasant. Hence, since satisfaction variables should also be considered in systems that potential users are likely to employ regularly, the use of different NPs may be a more suitable option than the use of a single RFW for the development of a home automation system based on a visual P300-based speller. © 2023 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Fernández-Rodríguez2023,

title = {Evaluation of Single-Trial Classification to Control a Visual ERP-BCI under a Situation Awareness Scenario},

author = {Álvaro Fernández-Rodríguez and Ricardo Ron-Angevin and Francisco Velasco-Álvarez and Jaime Diaz-Pineda and Théodore Letouzé and Jean-Marc André},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163969490&doi=10.3390%2fbrainsci13060886&partnerID=40&md5=43795c68f8e86133ee9694be1f604516},

doi = {10.3390/brainsci13060886},

issn = {20763425},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Brain Sciences},

volume = {13},

number = {6},

publisher = {MDPI},

abstract = {An event-related potential (ERP)-based brain–computer interface (BCI) can be used to monitor a user’s cognitive state during a surveillance task in a situational awareness context. The present study explores the use of an ERP-BCI for detecting new planes in an air traffic controller (ATC). Two experiments were conducted to evaluate the impact of different visual factors on target detection. Experiment 1 validated the type of stimulus used and the effect of not knowing its appearance location in an ERP-BCI scenario. Experiment 2 evaluated the effect of the size of the target stimulus appearance area and the stimulus salience in an ATC scenario. The main results demonstrate that the size of the plane appearance area had a negative impact on the detection performance and on the amplitude of the P300 component. Future studies should address this issue to improve the performance of an ATC in stimulus detection using an ERP-BCI. © 2023 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ron-Angevin2023b,

title = {Usability of three software platforms for modifying graphical layout in visual P300-based brain-computer interface},

author = {Ricardo Ron-Angevin and Álvaro Fernández-Rodríguez and Francisco Velasco-Álvarez and Véronique Lespinet-Najib and Jean-Marc André},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169902364&doi=10.1016%2fj.bspc.2023.105326&partnerID=40&md5=748249dc39b1ae49e362818c249cf223},

doi = {10.1016/j.bspc.2023.105326},

issn = {17468094},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Biomedical Signal Processing and Control},

volume = {86},

number = {3},

publisher = {Elsevier Ltd},

abstract = {Individuals afflicted by neurodegenerative conditions such as amyotrophic lateral sclerosis may eventually reach a point where they lose the ability to communicate with the outside world through conventional muscular pathways. In these cases, brain-computer interfaces (BCIs) can be a suitable alternative, as they directly transform brain activity into external commands. A P300-based speller is a BCI for communication purposes. The most popular software platforms used to develop spellers are BCI2000 and Open-ViBE. However, these platforms can be relatively complex to set up without advanced technical knowledge. For this reason, the UMA-BCI Speller platform was recently developed, intended to facilitate the control of the system. Hence, the objective of this research was to assess and compare the user-friendliness of the three platforms put forth. A group of fifteen participants were tasked with configuring a designated speller layout using the three platforms. The findings acquired demonstrated that the UMA-BCI Speller platform exhibited the utmost level of usability, as it required the shortest time to complete the tasks and received the best feedback in the questionnaires. Overall, there was no difference between the BCI2000 and Open-ViBE platforms. In short, the UMA-BCI Speller offered the best usability and showed itself to be an easy application to use that provides many options to configure a speller graphical layout. © 2023 The Authors},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Velasco-Álvarez2023224,

title = {Home automation system controlled through a brain-computer interface; [Sistema domótico controlado a través de una interfaz cerebro-ordenador]},

author = {Francisco Velasco-Álvarez and Álvaro Fernández-Rodríguez and Ricardo Ron-Angevin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163181095&doi=10.4995%2friai.2023.18718&partnerID=40&md5=88092eee53668ddddc58f099301eef88},

doi = {10.4995/riai.2023.18718},

issn = {16977912},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {RIAI - Revista Iberoamericana de Automatica e Informatica Industrial},

volume = {20},

number = {2},

pages = {224 – 235},

publisher = {Universidad Politecnica de Valencia.},

abstract = {Brain-computer interface (BCI) technology permits brain activity to be used as a communication channel without the usage of muscular action in order to control a computer or different devices, such as a home automation system. Nevertheless, BCI systems have proven to be difficult to adapt to handle external equipment. The objective of this work is to control a home automation system through a BCI that allows the construction of voice commands, which are interpreted by a virtual assistant. The suggested system has been tested by twelve participants. WhatsApp, Spotify, Google Nest, a smart light bulb, a smart plug (to switch on/off a radio), and an infrared controller (to control a TV and an air conditioner) were among the devices operated. The results obtained have shown that the proposed BCI was effective for the control of a flexible home automation system that can be adapted to the needs of the users. © 2023 Universitat Politecnica de Valencia. All rights reserved.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{olyaee2023analysis,

title = {Analysis of the Effect of Sand and Dust Storms (SDSs) and Rain on the Performance of Cellular Networks in the Millimeter Wave Band},

author = {Maryam Olyaee and Mohsen Eslami and Keivan Navaie and Juan M Romero-Jerez and Hadi Hashemi and Javad Haghighat and Mohamad Bahmanpour},

url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10168836},

year  = {2023},

date = {2023-01-01},

journal = {IEEE Access},

volume = {11},

pages = {69252–69262},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gutierrez-Parera2022,

title = {Interaural time difference individualization in HRTF by scaling through anthropometric parameters},

author = {Pablo Gutierrez-Parera and Jose J. Lopez and Javier M. Mora-Merchan and Diego F. Larios},

url = {https://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-022-00241-y},

doi = {10.1186/s13636-022-00241-y},

issn = {1687-4722},

year  = {2022},

date = {2022-05-01},

journal = {EURASIP Journal on Audio, Speech, and Music Processing},

volume = {2022},

number = {9},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9931551,

title = {The SONICOM Project: Artificial Intelligence-Driven Immersive Audio, From Personalization to Modeling [Applications Corner]},

author = {Lorenzo Picinali and Brian FG Katz and Michele Geronazzo and Piotr Majdak and Arcadio Reyes-Lecuona and Alessandro Vinciarelli},

url = {https://ieeexplore.ieee.org/document/9931551},

doi = {10.1109/MSP.2022.3182929},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Signal Processing Magazine},

volume = {39},

number = {6},

pages = {85-88},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ANTONIOSANTOYORAMON2022110945,

title = {A study of the influence of the sensor sampling frequency on the performance of wearable fall detectors},

author = {José Antonio Santoyo-Ramón and Eduardo Casilari and José Manuel Cano-García},

url = {https://www.sciencedirect.com/science/article/pii/S0263224122002226},

doi = {https://doi.org/10.1016/j.measurement.2022.110945},

issn = {0263-2241},

year  = {2022},

date = {2022-01-01},

journal = {Measurement},

volume = {193},

pages = {110945},

abstract = {Last decade has witnessed a major research interest on wearable fall detection systems. Sampling rate in these detectors strongly affects the power consumption and required complexity of the employed wearables. This study investigates the effect of the sampling frequency on the efficacy of the detection process. For this purpose, we train a convolutional neural network to directly discriminate falls from conventional activities based on the raw acceleration signals captured by a transportable sensor. Then, we analyze the changes in the performance of this classifier when the sampling rate is progressively reduced. In contrast with previous studies, the detector is tested against a wide set of public repositories of benchmarking traces. The quality metrics achieved for the different frequencies and the analysis of the spectrum of the signals reveal that a sampling rate of 20 Hz can be enough to maximize the effectiveness of a fall detector.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{CASILARI2022111843,

title = {An analytical comparison of datasets of Real-World and simulated falls intended for the evaluation of wearable fall alerting systems},

author = {Eduardo Casilari and Carlos A. Silva},

url = {https://www.sciencedirect.com/science/article/pii/S0263224122010429},

doi = {https://doi.org/10.1016/j.measurement.2022.111843},

issn = {0263-2241},

year  = {2022},

date = {2022-01-01},

journal = {Measurement},

volume = {202},

pages = {111843},

abstract = {Automatic fall detection is one of the most promising applications of wearables in the field of mobile health. The characterization of the effectiveness of wearable fall detectors is hampered by the inherent difficulty of testing these devices with real-world falls. In fact, practically all the proposals in the literature assess the detection algorithms with ‘scripted’ falls that are simulated in a controlled laboratory environment by a group of volunteers (normally young and healthy participants). Aiming at appraising the adequacy of this method, this work systematically compares the statistical characteristics of the acceleration signals from two databases with real falls and those computed from the simulated falls provided by 18 well-known repositories commonly employed by the related works. The results show noteworthy differences between the dynamics of emulated and real-life falls, which undermines the testing procedures followed to date and forces to rethink the strategies for evaluating wearable fall detectors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9678061,

title = {Stochastic Fading Channel Models With Multiple Dominant Specular Components},

author = {Juan M. Romero-Jerez and F. Javier Lopez-Martinez and Juan P. Peña-Martín and Ali Abdi},

doi = {10.1109/TVT.2022.3141949},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Vehicular Technology},

volume = {71},

number = {3},

pages = {2229-2239},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SHARIFIAN2022,

title = {LOADng-AT: a novel practical implementation of hybrid AHP-TOPSIS algorithm in reactive routing protocol for intelligent IoT-based networks},

author = {Sharifian Z. and Barekatain and Ariza Quintana B.},

url = {https://link.springer.com/article/10.1007/s11227-021-04256-8},

doi = {https://doi.org/10.1007/s11227-021-04256-8},

issn = {1573-0484},

year  = {2022},

date = {2022-01-01},

journal = {The Journal of Supercomputing},

volume = {78},

pages = {9521–9569},

abstract = {Despite that IoT technology provides a promising future for human life, some significant challenges such as routing, security, low-cost equipment, energy consumption, privacy, and reliability can considerably affect its performance. In recent studies, routing has been considered as one of the most critical challenges in IoT due to many existing IoT devices in a network. Selecting a non-optimal path increases collision probability and packet latency which sharply reduces the network performance. Hence, a novel flexible, scalable, and efficient routing protocol named LOADng-AT has been introduced in this study to overcome this challenge. Using LOADng-AT, firstly, taking advantage of the hello message, information about link quality parameters up to two hops is exchanged among nodes. This information includes various parameters such as bi-/unidirectional links, ETX, number of neighbors, link stability, received and residual energy, and SINR, gathered by hello message. Secondly, considering those parameters simultaneously, LOADng-AT efficiently chooses the best possible route based on the hybrid AHP-TOPSIS algorithm. The proposed protocol considerably decreases the RREQ broadcast storm. Moreover, it supports an error recovery path without rerunning a new routing process that noticeably decreases the network routing delay. LOADng-AT can be easily adapted to any QoS parameter with very low complexity which is very important for a delay-sensitive IoT-based network. Finally, in case of noisy condition, the proposed protocol can be efficiently used in low-quality links. Simulation results based on several scenarios in the OMNET ++ simulator show that end-to-end delay (EED) and packet delivery ratio (PDR) parameters significantly improved in the proposed method compared to other similar methods. In other words, using LOADng-AT, the mean values of PDR parameter were 98.64 and 82 percent for network sizes 400 × 200 and 800 × 400 m2, respectively, while the mean values of EED were 0.001 and 0.018 for network sizes 400 × 200 and 800 × 400 m2, respectively. The overall improvement for PDR and EED parameters in all 60 considered scenarios compared to similar methods were 82.26 and 16.6 percent, respectively.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Velasco-Álvarez2022121,

title = {Brain-computer interface (BCI)-generated speech to control domotic devices},

author = {Francisco Velasco-Álvarez and Álvaro Fernández-Rodríguez and Ricardo Ron-Angevin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136557263&doi=10.1016%2fj.neucom.2022.08.068&partnerID=40&md5=fba9dd6b2ed7f2cb922271d1c20d8d7b},

doi = {10.1016/j.neucom.2022.08.068},

issn = {09252312},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Neurocomputing},

volume = {509},

pages = {121 – 136},

publisher = {Elsevier B.V.},

abstract = {A brain-computer interface (BCI) is a type of technology that establishes a communication channel between a user and certain devices in the environment via the brain signals of the user. The UMA-BCI Speller tool allows for easy configuration of a BCI, permitting it to be manipulated without the need for much technical knowledge. However, adapting a BCI system so that it can communicate with devices is a challenging task. A simpler technology that is increasingly used to enable communication with devices in the environment is based on voice commands. The aim of the present work is therefore to create a system to facilitate communication between a BCI and devices in the environment using voice commands. Twelve healthy participants and three amyotrophic lateral sclerosis (ALS) patients were asked to control a BCI home automation system. The devices to be controlled were a television, an air conditioner, a smart light bulb, a smart plug, and the WhatsApp and Spotify apps. Performance measures were recorded, and subjective measures were collected based on the System usability scale, NASA-TLX and ad hoc questionnaires. The results of this study validate the proposed system as a suitable option to facilitate communication between a BCI and commercial devices that have been previously adapted to operate based on voice commands. © 2022 The Authors},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Fernández-Rodríguez2022,

title = {Effect of Stimulus Size in a Visual ERP-Based BCI under RSVP},

author = {Álvaro Fernández-Rodríguez and Aube Darves-Bornoz and Francisco Velasco-Álvarez and Ricardo Ron-Angevin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143730939&doi=10.3390%2fs22239505&partnerID=40&md5=0a44f83566fe3574ffbb67f6f865e9c5},

doi = {10.3390/s22239505},

issn = {14248220},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Sensors},

volume = {22},

number = {23},

publisher = {MDPI},

abstract = {Rapid serial visual presentation (RSVP) is currently one of the most suitable paradigms for use with a visual brain–computer interface based on event-related potentials (ERP-BCI) by patients with a lack of ocular motility. However, gaze-independent paradigms have not been studied as closely as gaze-dependent ones, and variables such as the sizes of the stimuli presented have not yet been explored under RSVP. Hence, the aim of the present work is to assess whether stimulus size has an impact on ERP-BCI performance under the RSVP paradigm. Twelve participants tested the ERP-BCI under RSVP using three different stimulus sizes: small (0.1 × 0.1 cm), medium (1.9 × 1.8 cm), and large (20.05 × 19.9 cm) at 60 cm. The results showed significant differences in accuracy between the conditions; the larger the stimulus, the better the accuracy obtained. It was also shown that these differences were not due to incorrect perception of the stimuli since there was no effect from the size in a perceptual discrimination task. The present work therefore shows that stimulus size has an impact on the performance of an ERP-BCI under RSVP. This finding should be considered by future ERP-BCI proposals aimed at users who need gaze-independent systems. © 2022 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}