Gesture spotting using wrist worn microphone and 3-axis accelerometer
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Acoustic environment classification
ACM Transactions on Speech and Language Processing (TSLP)
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Power and accuracy trade-offs in sound-based context recognition systems
Pervasive and Mobile Computing
Functionality-power-packaging considerations in context aware wearable systems
Personal and Ubiquitous Computing - Special Issue: Selected Papers of the ARCS06 Conference
Gestures are strings: efficient online gesture spotting and classification using string matching
Proceedings of the ICST 2nd international conference on Body area networks
On-body activity recognition in a dynamic sensor network
Proceedings of the ICST 2nd international conference on Body area networks
Design and Evaluation of a Sound Based Water Flow Measurement System
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
Symbolic object localization through active sampling of acceleration and sound signatures
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Recognition of user activity sequences using distributed event detection
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
EURASIP Journal on Wireless Communications and Networking - Special issue on towards the connected body: advances in body communications
Architectural tradeoffs in wearable systems
ARCS'06 Proceedings of the 19th international conference on Architecture of Computing Systems
Activity recognition using a spectral entropy signature
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Activity recognition for creatures of habit
Personal and Ubiquitous Computing
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The paper presents a prototype of a wearable, sound-analysis based, user activity recognition device. It focuses on low-power realization suitable for a miniaturized implementation. We describe a tradeoff analysis between recognition performance and computation complexity. Furthermore, we present the hardware prototype and the experimental evaluation of its recognition performance. This includes frame by frame recognition, event detection in a continuous data stream and the influence of background noise.