Spine versus Porcupine: A Study in Distributed Wearable Activity Recognition
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Challenges: device-free passive localization for wireless environments
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
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UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
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PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
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IEEE Pervasive Computing
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Sensing motion using spectral and spatial analysis of WLAN RSSI
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
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IEEE Communications Magazine
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Proceedings of the 13th international conference on Ubiquitous computing
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Monitoring children's developmental progress using augmented toys and activity recognition
Personal and Ubiquitous Computing
Pattern Analysis & Applications
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Device-free and device-bound activity recognition using radio signal strength
Proceedings of the 4th Augmented Human International Conference
Ambient intelligence sensing using array sensor: device-free radio based approach
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Joint localization and activity recognition from ambient FM broadcast signals
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
RF-Based device-free recognition of simultaneously conducted activities
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Device-free indoor localization using ambient radio signals
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
CoSDEO 2013: device-free radio-based recognition
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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We introduce a passive system to recognise environmental situations. Differing from other RF-based approaches, our system has the advantage of neither installing a transmitter generating the signal nor equipping the monitored entities with any active component. When activities are performed, it consecutively samples ambient RF-signals, derived from a non-cooperating FM-radio source. Since changes in an environment impact the propagation of radio waves, this data implicitly contains information to distinguish environmental situations. We experimentally demonstrate the distinction of the situations 'empty room', 'opened door' and 'walking person' with an average accuracy of over 90%.