J. A. Miranda
Charles III University of Madrid
13 Papers
17 Citations
J. A. Miranda is an academic researcher from Charles III University of Madrid. The author has contributed to research in topics: Computer science & Wearable computer. The author has an hindex of 3, co-authored 8 publications. Previous affiliations of J. A. Miranda include Carlos III Health Institute.
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Papers
Bindi: Affective Internet of Things to Combat Gender-Based Violence
J. A. Miranda,Esther Rituerto-González,Clara Luis-Mingueza,M. F. Canabal,Alberto Ramírez Bárcenas,Jose M. Lanza-Gutierrez,Carmen Pelez-Moreno,Celia Lopez-Ongil +7 more
TL;DR: An analysis of multimodal late fusion strategies to combine the physiological and speech data processing pipelines to identify the best intelligence engine strategy for Bindi, which reports an overall fear classification accuracy of 63.61% for a subject-independent approach.
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Fear Recognition for Women Using a Reduced Set of Physiological Signals.
J. A. Miranda,M. F. Canabal,Laura Gutiérrez-Martín,Jose M. Lanza-Gutierrez,Marta Portela-Garcia,Celia Lopez-Ongil +5 more
TL;DR: In this paper, the authors presented a specialized fear recognition system for women based on a reduced set of physiological signals, which is characterized by the usage of three physiological sensors, lightweight binary classification and the conjunction of linear (temporal and frequency) and non-linear features.
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WEMAC: Women and Emotion Multi-modal Affective Computing dataset
J. A. Miranda,Esther Rituerto-Gonz'alez,Laura Guti'errez-Mart'in,Clara Luis-Mingueza,M. F. Canabal,Alberto Ram'irez B'arcenas,Jose M. Lanza-Guti'errez,Carmen Pelez-Moreno,Celia L'opez-Ongil +8 more
TL;DR: The first release of WEMAC is presented, a novel multi-modal dataset, which comprises a laboratory-based experiment for 47 women volunteers that was exposed to validated audio-visual stimuli to induce real emotions by using a virtual reality headset while physiological, speech signals and self-reports were acquired and collected.
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A light compact and rugged IR sensor for space applications
Andres Russu,Antonio J. de Castro,Francisco Cortes,Celia Lopez-Ongil,M. Portela,Ernesto Garcia,J. A. Miranda,M. F. Canabal,Ignacio Arruego,Javier Martinez-Oter,Fernando López +10 more
- 09 Sep 2019
TL;DR: In this article, the Short and Mid Wave InfraRed (S-MWIR) rugged active detection system has been designed to be operated in the worst conditions with very low Size Weight and Power (SWaP) factor.
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Edge computing design space exploration for heart rate monitoring
J. A. Miranda,M. F. Canabal,Laura Gutiérrez-Martín,Jose M. Lanza-Gutierrez,Celia Lopez-Ongil +4 more
TL;DR: In this article , the authors present a DSE breakup for every stage involved in a wearable edge device developed by the authors and based on continuous heart rate variability (HRV) physiological monitoring.
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