SATIRE: a software architecture for smart AtTIRE
Proceedings of the 4th international conference on Mobile systems, applications and services
Proceedings of the 11th international conference on Information Processing in Sensor Networks
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
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Traditional fall detection is only based on acceleration analysis. In this work we present a novel fall detection method that also utilizes posture and context information. This information can help reduce both false positives and negatives. Our solution also strives for low computational cost and fast response.