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Acceleration Based  HCI Prototype  Peng Deng: 263497  Qifeng Mao: 272746
Characteristics of human motion Challenges:   1.Recognition; 2. Segmentation Facts:   1.Multi-attributes; 2. Data stream Solutions:   1.Machine Learning; 2. Threshold+std dev
Characteristics of human motion cont. Challenges:   1.Recognition; 2. Segmentation Facts:   1.Multi-attributes; 2. Data stream Solutions:   1.Machine Learning; 2. Threshold+std dev
Architecture
DEMO
Auto segmentation Sliding Window: common method to process data stream e.g. TCP, DSMS Standard Deviation: How stable the data series is 0 1 -1 0 0.5 0 3 7 -2 9

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Acceleration Based Hci Prototype

  • 1. Acceleration Based HCI Prototype Peng Deng: 263497 Qifeng Mao: 272746
  • 2. Characteristics of human motion Challenges: 1.Recognition; 2. Segmentation Facts: 1.Multi-attributes; 2. Data stream Solutions: 1.Machine Learning; 2. Threshold+std dev
  • 3. Characteristics of human motion cont. Challenges: 1.Recognition; 2. Segmentation Facts: 1.Multi-attributes; 2. Data stream Solutions: 1.Machine Learning; 2. Threshold+std dev
  • 6. Auto segmentation Sliding Window: common method to process data stream e.g. TCP, DSMS Standard Deviation: How stable the data series is 0 1 -1 0 0.5 0 3 7 -2 9