Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction
This paper presents a multi-sensor system for implementing biofeedback as a human-computer interaction technique in a game involving driving cars in risky situations. The sensors used are: Eye Tracker, Kinect, pulsometer, respirometer, electromiography (EMG) and galvanic skin resistance (GSR). An a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/3/6520 |
| _version_ | 1811301429287059456 |
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| author | Inigo de Loyola Ortiz-Vigon Uriarte Begonya Garcia-Zapirain Yolanda Garcia-Chimeno |
| author_facet | Inigo de Loyola Ortiz-Vigon Uriarte Begonya Garcia-Zapirain Yolanda Garcia-Chimeno |
| author_sort | Inigo de Loyola Ortiz-Vigon Uriarte |
| collection | DOAJ |
| description | This paper presents a multi-sensor system for implementing biofeedback as a human-computer interaction technique in a game involving driving cars in risky situations. The sensors used are: Eye Tracker, Kinect, pulsometer, respirometer, electromiography (EMG) and galvanic skin resistance (GSR). An algorithm has been designed which gives rise to an interaction logic with the game according to the set of physiological constants obtained from the sensors. The results reflect a 72.333 response to the System Usability Scale (SUS), a significant difference of p = 0.026 in GSR values in terms of the difference between the start and end of the game, and an r = 0.659 and p = 0.008 correlation while playing with the Kinect between the breathing level and the energy and joy factor. All the sensors used had an impact on the end results, whereby none of them should be disregarded in future lines of research, even though it would be interesting to obtain separate breathing values from that of the cardio. |
| first_indexed | 2024-04-13T07:08:40Z |
| format | Article |
| id | doaj.art-13e3c0bf94404970858f61f31a62f4ba |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:08:40Z |
| publishDate | 2015-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-13e3c0bf94404970858f61f31a62f4ba2022-12-22T02:56:56ZengMDPI AGSensors1424-82202015-03-011536520654810.3390/s150306520s150306520Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor InteractionInigo de Loyola Ortiz-Vigon Uriarte0Begonya Garcia-Zapirain1Yolanda Garcia-Chimeno2Deusto-Tech-LIFE Department, University of Deusto, Bilbao 48007, SpainDeusto-Tech-LIFE Department, University of Deusto, Bilbao 48007, SpainDeusto-Tech-LIFE Department, University of Deusto, Bilbao 48007, SpainThis paper presents a multi-sensor system for implementing biofeedback as a human-computer interaction technique in a game involving driving cars in risky situations. The sensors used are: Eye Tracker, Kinect, pulsometer, respirometer, electromiography (EMG) and galvanic skin resistance (GSR). An algorithm has been designed which gives rise to an interaction logic with the game according to the set of physiological constants obtained from the sensors. The results reflect a 72.333 response to the System Usability Scale (SUS), a significant difference of p = 0.026 in GSR values in terms of the difference between the start and end of the game, and an r = 0.659 and p = 0.008 correlation while playing with the Kinect between the breathing level and the energy and joy factor. All the sensors used had an impact on the end results, whereby none of them should be disregarded in future lines of research, even though it would be interesting to obtain separate breathing values from that of the cardio.http://www.mdpi.com/1424-8220/15/3/6520biofeedbackmulti-sensorgameKinectEye TrackerGSREMGpulsometerrespirometer |
| spellingShingle | Inigo de Loyola Ortiz-Vigon Uriarte Begonya Garcia-Zapirain Yolanda Garcia-Chimeno Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction Sensors biofeedback multi-sensor game Kinect Eye Tracker GSR EMG pulsometer respirometer |
| title | Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction |
| title_full | Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction |
| title_fullStr | Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction |
| title_full_unstemmed | Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction |
| title_short | Game Design to Measure Reflexes and Attention Based on Biofeedback Multi-Sensor Interaction |
| title_sort | game design to measure reflexes and attention based on biofeedback multi sensor interaction |
| topic | biofeedback multi-sensor game Kinect Eye Tracker GSR EMG pulsometer respirometer |
| url | http://www.mdpi.com/1424-8220/15/3/6520 |
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