Demo abstract: Use the force, Luke: Implementation of RF-based gesture interaction on an android phone. Rauterberg, C., Sigg, S., & Fu, X. In Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on, pages 190-192, March, 2015. doi abstract bibtex Various approaches exist to detect gestures and movements via smartphones. Most of them, however, require that the smartphone is carried on-body. The abscence of reliable ad-hoc on-line gesture detection from environmental sources inspired this project for on-line hand gesture detection on a smartphone using only WiFi RSSI. We highlight our line of work and explain problems at hand to provide information for possible future work. We will furthermore introduce wifiJedi, a smartphone application, that is able to detect movement in front of the smartphone by reading the WiFi RSSI and use this information to control a Slideshow.
@INPROCEEDINGS{Rauterberg_2015_demo,
author={C. Rauterberg and S. Sigg and X. Fu},
booktitle={Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on},
title={Demo abstract: Use the force, Luke: Implementation of RF-based gesture interaction on an android phone},
year={2015},
pages={190-192},
abstract={Various approaches exist to detect gestures and movements via smartphones. Most of them, however, require that the smartphone is carried on-body. The abscence of reliable ad-hoc on-line gesture detection from environmental sources inspired this project for on-line hand gesture detection on a smartphone using only WiFi RSSI. We highlight our line of work and explain problems at hand to provide information for possible future work. We will furthermore introduce wifiJedi, a smartphone application, that is able to detect movement in front of the smartphone by reading the WiFi RSSI and use this information to control a Slideshow.},
keywords={RSSI;smart phones;user interfaces;wireless LAN;WiFi RSSI;environmental sources;on-line hand gesture detection;reliable ad-hoc on-line gesture detection;smartphones;Accuracy;Gesture recognition;IEEE 802.11 Standards;Receivers;Smart phones;Training},
doi={10.1109/PERCOMW.2015.7134018},
month={March},
group = {ambience}}
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