关键词: 加速度传感器, 坐标转换, 行为识别, 穿戴位置

Abstract:

In order to reduce the influence of the wearing locations of mobile phones for user behavior recognition, a coordinate transformation method was proposed. The acceleration data acquired from the mobile phones' embedded accelerometers was transformed from mobile phone coordinate to the azimuth coordinations by means of the azimuth signals from the embedded direction sensor. Ant colony algorithm was used to choose the sensitive feature sets from the different coordinates' acceleration signals. BP neural network was employed to recognize the mobile users' behaviors. Experiments show that the proposed coordinate transformation method effectively reduces the influence of gravitational acceleration and wearing locations, and can observably enhance the recognition accuracy of the mobile users' behaviors as well.

Key words: accelerometer, coordinate transformation, behavior recognition, wearing location