Sensors, Vol. 19, Pages 4520: Impact of Physiological Signals Acquisition in the Emotional Support Provided in Learning Scenarios

Sensors, Vol. 19, Pages 4520: Impact of Physiological Signals Acquisition in the Emotional Support Provided in Learning Scenarios Sensors doi: 10.3390/s19204520 Authors: Uria-Rivas Rodriguez-Sanchez Santos Vaquero Boticario Physiological sensors can be used to detect changes in the emotional state of users with affective computing. This has lately been applied in the educational domain, aimed to better support learners during the learning process. For this purpose, we have developed the AICARP (Ambient Intelligence Context-aware Affective Recommender Platform) infrastructure, which detects changes in the emotional state of the user and provides personalized multisensorial support to help manage the emotional state by taking advantage of ambient intelligence features. We have developed a third version of this infrastructure, AICARP.V3, which addresses several problems detected in the data acquisition stage of the second version, (i.e., intrusion of the pulse sensor, poor resolution and low signal to noise ratio in the galvanic skin response sensor and slow response time of the temperature sensor) and extends the capabilities to integrate new actuators. This improved incorporates a new acquisition platform (shield) called PhyAS (Physiological Acquisition Shield), which reduces the number of control units to only one, and supports both gathering physiological signals with better precision and delivering multisensory feedback with more flexibility, by means o...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research