Publications

@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}

}

@article{olyaee2022alternative,

title = {Alternative Formulations for the Fluctuating Two-Ray Fading Model},

author = {Maryam Olyaee and Juan M Romero-Jerez and F Javier Lopez-Martinez and Andrea J Goldsmith},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Wireless Communications},

volume = {21},

number = {11},

pages = {9404–9416},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{olyaee2022fluctuating,

title = {The Fluctuating Two-Ray Fading Model with Independent Specular Components},

author = {Maryam Olyaee and José A Cortés and F Javier Lopez-Martinez and José F Paris and Juan M Romero-Jerez},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Vehicular Technology},

volume = {72},

number = {5},

pages = {5533–5545},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lopez2022,

title = {Compensating first reflections in non-anechoic head-related transfer function measurements},

author = {Jose J. Lopez and Pablo Gutierrez-Parera and Maximo Cobos},

url = {https://linkinghub.elsevier.com/retrieve/pii/S0003682X21006174},

doi = {10.1016/j.apacoust.2021.108523},

issn = {0003-682X},

year  = {2022},

date = {2022-01-01},

journal = {Applied Acoustics},

volume = {188},

pages = {108523},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ast/2021,

title = {A study on the impact of the users' characteristics on the performance of wearable fall detection system},

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

url = {https://rdcu.be/cB5NF},

doi = {10.1038/s41598-021-02537-z},

issn = {2045-2322},

year  = {2021},

date = {2021-11-01},

journal = {Scientific Reports},

volume = {11},

number = {23011},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jos/ASt/2021,

title = {A Study of One-Class Classification Algorithms for Wearable Fall Sensors},

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

url = {https://www.mdpi.com/2079-6374/11/8/284},

doi = {10.3390/bios11080284},

issn = {2079-6374},

year  = {2021},

date = {2021-08-01},

journal = {Biosensors},

volume = {11},

number = {8},

pages = {284},

abstract = {In recent years, the popularity of wearable devices has fostered the investigation of automatic fall detection systems based on the analysis of the signals captured by transportable inertial sensors. Due to the complexity and variety of human movements, the detection algorithms that offer the best performance when discriminating falls from conventional Activities of Daily Living (ADLs) are those built on machine learning and deep learning mechanisms. In this regard, supervised machine learning binary classification methods have been massively employed by the related literature. However, the learning phase of these algorithms requires mobility patterns caused by falls, which are very difficult to obtain in realistic application scenarios. An interesting alternative is offered by One-Class Classifiers (OCCs), which can be exclusively trained and configured with movement traces of a single type (ADLs). In this paper, a systematic study of the performance of various typical OCCs (for diverse sets of input features and hyperparameters) is performed when applied to nine public repositories of falls and ADLs. The results show the potentials of these classifiers, which are capable of achieving performance metrics very similar to those of supervised algorithms (with values for the specificity and the sensitivity higher than 95%). However, the study warns of the need to have a wide variety of types of ADLs when training OCCs, since activities with a high degree of mobility can significantly increase the frequency of false alarms (ADLs identified as falls) if not considered in the data subsets used for training},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Imp/2021,

title = {Impact of non-individualised head related transfer functions on speech-in-noise performances within a synthesised virtual environment},

author = {María Cuevas-Rodríguez and Daniel González-Toledo and Arcadio Reyes-Lecuona and Lorenzo Picinali},

url = {https://asa.scitation.org/doi/10.1121/10.0004220},

doi = {10.1121/10.0004220},

issn = {0001-4966},

year  = {2021},

date = {2021-04-01},

urldate = {2021-04-01},

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

volume = {149},

number = {4},

pages = {2573–2586},

abstract = {When performing binaural spatialisation, it is widely accepted that the choice of the head related transfer functions (HRTFs), and in particular the use of individually measured ones, can have an impact on localisation accuracy, externalization, and overall realism. Yet the impact of HRTF choices on speech-in-noise performances in cocktail party-like scenarios has not been investigated in depth. This paper introduces a study where 22 participants were presented with a frontal speech target and two lateral maskers, spatialised using a set of non-individual HRTFs. Speech reception threshold (SRT) was measured for each HRTF. Furthermore, using the SRT predicted by an existing speech perception model, the measured values were compensated in the attempt to remove overall HRTF-specific benefits. Results show significant overall differences among the SRTs measured using different HRTFs, consistently with the results predicted by the model. Individual differences between participants related to their SRT performances using different HRTFs could also be found, but their significance was reduced after the compensation. The implications of these findings are relevant to several research areas related to spatial hearing and speech perception, suggesting that when testing speech-in-noise performances within binaurally rendered virtual environments, the choice of the HRTF for each individual should be carefully considered.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AFe/2021,

title = {A Feasibility Study of the Use of Smartwatches in Wearable Fall Detection Systems},

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

url = {https://www.mdpi.com/1424-8220/21/6/2254},

doi = {10.3390/s21062254},

issn = {1424-8220},

year  = {2021},

date = {2021-03-01},

journal = {Sensors},

volume = {21},

number = {6},

pages = {2254},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Marquez-Moncada2021a,

title = {Influencia del Audio 3D en la Percepción de la Ganancia de Rotación en un Entorno Virtual . Un Estudio Piloto},

author = {Ana Márquez-Moncada and Bottcher Hauke Luis and Daniel González-Toledo and María Cuevas-Rodriguez and Luis Molina-Tanco and Arcadio Reyes-Lecuona},

url = {https://hdl.handle.net/10630/22942},

year  = {2021},

date = {2021-01-01},

journal = {Interacción 20/21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Reyes-Lecuona2021c,

title = {Binaural Audio and Rotation Gain in Virtual Environments},

author = {Arcadio Reyes-Lecuona and Ana Márquez-Moncada and Bottcher Hauke Luis and Daniel González-Toledo and María Cuevas-Rodriguez and Luis Molina-Tanco},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Interaccion - Revista Digital de AIPO},

volume = {2},

issue = {2},

pages = {54-62},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lopez2021fluctuating,

title = {A fluctuating line-of-sight fading model with double-rayleigh diffuse scattering},

author = {Jesús López-Fernández and Pablo Ramírez Espinosa and Juan M Romero-Jerez and F Javier López-Martínez},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Transactions on Vehicular Technology},

volume = {71},

number = {1},

pages = {1000–1003},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spe/2021,

title = {Speech intelligibility with various head-related transfer functions: A computational modelling approach},

author = {Axel Ahrens and María Cuevas-Rodríguez and W. Owen Brimijoin},

url = {https://asa.scitation.org/doi/10.1121/10.0003618},

doi = {10.1121/10.0003618},

year  = {2021},

date = {2021-01-01},

journal = {JASA Express Letters},

volume = {1},

number = {3},

abstract = {Speech intelligibility (SI) is known to be affected by the relative spatial position between target and interferers. The benefit of a spatial separation is, along with other factors, related to the head-related transfer function (HRTF). The HRTF is individually different and thus, the cues that affect SI might also be different. In the current study, an auditory model was employed to predict SI with various HRTFs and at different angles on the horizontal plane. The predicted SI threshold was found to be largely different across HRTFs. Thus, individual listeners might have different access to SI cues, dependent on their HRTF.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{s21155024,

title = {Improving the Screen Exploration of Smartphones Using Haptic Icons for Visually Impaired Users},

author = {Francisco Javier González-Cañete and José Luís López-Rodríguez and Pedro María Galdón and Antonio Diaz-Estrella},

url = {https://www.mdpi.com/1424-8220/21/15/5024},

doi = {10.3390/s21155024},

issn = {1424-8220},

year  = {2021},

date = {2021-01-01},

journal = {Sensors},

volume = {21},

number = {15},

abstract = {We report the results of a study on the learnability of the locations of haptic icons on smartphones. The aim was to study the influence of the use of complex and different vibration patterns associated with haptic icons compared to the use of simple and equal vibrations on commercial location-assistance applications. We studied the performance of users with different visual capacities (visually impaired vs. sighted) in terms of the time taken to learn the icons’ locations and the icon recognition rate. We also took into consideration the users’ satisfaction with the application developed to perform the study. The experiments concluded that the use of complex and different instead of simple and equal vibration patterns obtains better recognition rates. This improvement is even more noticeable for visually impaired users, who obtain results comparable to those achieved by sighted users.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{reyes2021audio,

title = {Audio Binaural y Ganancia de Rotación en Entornos Virtuales},

author = {Arcadio Reyes-Lecuona and Ana Marquez Moncada and Hauke Luis Bottcher and Daniel González-Toledo and Mar'ia Cuevas-Rodr'iguez and Luis Molina-Tanco},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Revista de la Asociación Interacción Persona Ordenador (AIPO)},

volume = {2},

number = {2},

pages = {54--62},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ont/2020,

title = {On the Heterogeneity of Existing Repositories of Movements Intended for the Evaluation of Fall Detection Systems},

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

url = {https://www.hindawi.com/journals/jhe/2020/6622285/},

doi = {10.1155/2020/6622285},

issn = {2040-2295},

year  = {2020},

date = {2020-12-01},

journal = {Journal of Healthcare Engineering},

volume = {2020},

pages = {6622285},

abstract = {Due to the serious impact of falls on the autonomy and health of older people, the investigation of wearable alerting systems for the automatic detection of falls has gained considerable scientific interest in the field of body telemonitoring with wireless sensors. Because of the difficulties of systematically validating these systems in a real application scenario, Fall Detection Systems (FDSs) are typically evaluated by studying their response to datasets containing inertial sensor measurements captured during the execution of labelled nonfall and fall movements. In this context, during the last decade, numerous publicly accessible databases have been released aiming at offering a common benchmarking tool for the validation of the new proposals on FDSs. This work offers a comparative and updated analysis of these existing repositories. For this purpose, the samples contained in the datasets are characterized by different statistics that model diverse aspects of the mobility of the human body in the time interval where the greatest change in the acceleration module is identified. By using one-way analysis of variance (ANOVA) on the series of these features, the comparison shows the significant differences detected between the datasets, even when comparing activities that require a similar degree of physical effort. This heterogeneity, which may result from the great variability of the sensors, experimental users, and testbeds employed to generate the datasets, is relevant because it casts doubt on the validity of the conclusions of many studies on FDSs, since most of the proposals in the literature are only evaluated using a single database.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ASt/2020,

title = {A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets},

author = {Eduardo Casilari and Raúl Lora-Rivera and Francisco García-Lagos},

url = {https://www.mdpi.com/1424-8220/20/5/1466},

doi = {10.3390/s20051466},

issn = {1424-8220},

year  = {2020},

date = {2020-03-01},

journal = {Sensors},

volume = {20},

number = {5},

pages = {1466},

abstract = {Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention during the last years. The core of a FDS is the algorithm that discriminates falls from conventional Activities of Daily Life (ADLs). This work presents and evaluates a convolutional deep neural network when it is applied to identify fall patterns based on the measurements collected by a transportable tri-axial accelerometer. In contrast with most works in the related literature, the evaluation is performed against a wide set of public data repositories containing the traces obtained from diverse groups of volunteers during the execution of ADLs and mimicked falls. Although the method can yield very good results when it is hyper-parameterized for a certain dataset, the global evaluation with the other repositories highlights the difficulty of extrapolating to other testbeds the network architecture that was configured and optimized for a particular dataset.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AStgiroscopo/2020,

title = {A Study of the Use of Gyroscope Measurements in Wearable Fall Detection Systems},

author = {Eduardo Casilari and Moisés Álvarez-Marco and Francisco García-Lagos},

url = {https://www.mdpi.com/2073-8994/12/4/649/htm},

doi = {10.3390/sym12040649},

issn = {2073-8994},

year  = {2020},

date = {2020-03-01},

journal = {Symmetry},

volume = {12},

number = {4},

pages = {649},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Acr/2020,

title = {A cross-dataset deep learning-based classifier for people fall detection and identification},

author = {Rubén Delgado-Escaño and Francisco M. Castro and Julián R. Cózar and Manuel J. Marín-Jiménez and Nicolás Guil and Eduardo Casilari},

url = {https://www.sciencedirect.com/science/article/pii/S0169260719311770},

doi = {10.1016/j.cmpb.2019.105265},

issn = {0169-2607},

year  = {2020},

date = {2020-02-01},

journal = {Computer Methods and Programs in Biomedicine},

volume = {184},

number = {105265},

keywords = {},

pubstate = {published},

tppubtype = {article}

}