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The help4mood wearable sensor network for inconspicuous activity measurement

Autor
Perez, D.; Ruiz, S.; Rosell, F.; Ramos, J.; Valenzuela, J.; Colomé, J.M.
Tipus d'activitat
Article en revista
Revista
IEEE Wireless communications
Data de publicació
2013-08
Volum
20
Número
4
Pàgina inicial
50
Pàgina final
56
DOI
https://doi.org/10.1109/MWC.2013.6590050 Obrir en finestra nova
Projecte finançador
Comunicaciones móviles eficientes basadas en redes heterogéneas y coordinación de interferencias
Repositori
http://hdl.handle.net/2117/104478 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6590050 Obrir en finestra nova
Resum
The Help4Mood EU FP7 project (H4M) [1] proposes to significantly advance the state-ofthe-art in computerized support for people with Major Depression by monitoring mood, physical activity and voice characteristics while promoting activities in reaction to examined inputs. Employing actigraphy can provide supplementary data about patients with depression. Nonetheless, its use is not standardized and there is a lack of public analyses about treated patients with depression using this technique, wh...
Citació
Perez, D., Ruiz, S., Rosell, F., Ramos, J., Valenzuela, J., Colomé, J.M. The help4mood wearable sensor network for inconspicuous activity measurement. "IEEE Wireless communications", Agost 2013, vol. 20, núm. 4, p. 50-56.
Paraules clau
Activity measurements, Personal monitoring systems, Quality of experience (QoE), Reduce energy consumption, Sensor installation, Supplementary data, Voice characteristics, Wearable sensor networks
Grup de recerca
CREB - Centre de Recerca en Enginyeria Biomedica
GCEM - Grup de Compatibilitat Electromagnètica
IEB - Instrumentació Electrònica i Biomèdica
WiComTec - Grup de recerca en Tecnologies i Comunicacions Sense Fils

Participants