关键词: 行为识别, 超宽带传感器, 朴素贝叶斯

Abstract: Human activity recognition is an important research topic in pervasive computing. With user activity recognized, intelligent assistive service and personalization service can be offered to the user. The development of miniaturized low-cost and low-power computing devices makes sensing-based activity recognition a hot topic, which has attracted growing amount of attention in recent years. This paper proposes a new approach to extract features pertaining user based on UWB sensor data. It adopts the na?ve Bayes model for classifying human activity. The experimental results verify the proposed approach.

Key words: activity recognition, Ultra-Wideband（UWB） sensor, na?ve Bayes