Ward, JA;
Pirkl, G;
Hevesi, P;
Lukowicz, P;
(2017)
Detecting Physical Collaborations in a Group Task Using Body-Worn Microphones and Accelerometers.
In:
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).
IEEE
(In press).
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Abstract
This paper presents a method of using wearable accelerometers and microphones to detect instances of ad-hoc physical collaborations between members of a group. 4 people are instructed to construct a large video wall and must cooperate to complete the task. The task is loosely structured with minimal outside assistance to better reflect the ad-hoc nature of many real world construction scenarios. Audio data, recorded from chest-worn microphones, is used to reveal information on collocation, i.e. whether or not participants are near one another. Movement data, recorded using 3-axis accelerometers worn on each person's head and wrists, is used to provide information on correlated movements, such as when participants help one another to lift a heavy object. Collocation and correlated movement information is then combined to determine who is working together at any given time. The work shows how data from commonly available sensors can be combined across multiple people using a simple, low power algorithm to detect a range of physical collaborations.
Type: | Proceedings paper |
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Title: | Detecting Physical Collaborations in a Group Task Using Body-Worn Microphones and Accelerometers |
Event: | 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) |
Location: | Kona, Big Island, Hawaii, USA |
Dates: | 13 March 2017 - 17 March 2017 |
ISBN: | 9781509043385 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/PERCOMW.2017.7917570 |
Publisher version: | http://doi.org/10.1109/PERCOMW.2017.7917570 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Collaboration, Correlation, Sensors, Microphones, Acceleration, Context, Conferences |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10039434 |
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