论文信息 - Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors

Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors

Recent advances in wearable sensing and computing devices and in fast probabilistic inference techniques make possible the fine-grained estimation of a person’s activities over extended periods of time [6]. Such technologies enable applications ranging from context aware computing to support for cognitively impaired people to monitoring of activities of daily living.

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