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From Virtual to Real World: Applying Animation to Design the Activity Recognition System (CHI2021 LBW)

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From Virtual to Real World: Applying Animation to Design the Activity Recognition System (CHI2021 LBW)

  1. 1. From Virtual to Real World: Applying Animation to Design the Activity Recognition System Keio University Chengshuo Xia, Sugiura Yuta Late Breaking Work
  2. 2. • Data-driven Human Activity Recognition (HAR) system relies on the training dataset which is collected from the significant signal variation regions. • Such regions limited the flexibility to alter the sensor position. • Change the position requires the system to re-collect the sensory data from desired position. 2 Background Specific position sensory data collection HAR Training Application
  3. 3. • A virtual platform combined with sensor simulation to design the non-visual HAR systems. • Provide the accuracy as the feedback of examined positions via cross-validation. • Virtual sensor can be tested to check the corresponding accuracy. • Classifier interface trained by simulation signal can be generated forwarding to the real activity recognition. 3 System
  4. 4. UNITY 3D based platform • Input data stream: • Generated from Xsens MVN taken by subjects. • Sensor Simulation: • HAR system based on virtual dataset: • Down-sampled to decrease frame rate influence • Segmentation • Augmentation 4 System
  5. 5. • Case-a: Wearable acceleromters system for daily activity recognition Testing & Application Several types of daily activity recognition with an accelerometer worn on the body. User can have customized demand of sensor position and activity recognized.
  6. 6. • Case-b: Wearable distance sensor system for exercises recognition Testing & Application Design a wearable distance sensor system which the sensor is attached on the lower limbs of an individual.
  7. 7. • Case-c: Distance sensing system for motion recognition in a bathroom Testing & Application Distance map into grayscale figure
  8. 8. • Result: Testing & Application
  9. 9. 9 Conclusion • Virtual simulation environment to produce the simulated multi- modal sensor data. • Drop back the position choice to the end-user side. • Arbitrarily to place the sensor in the virtual scenario. • Combine with virtual sensory, improve the process of HAR system design. • Recognize the activity in the real-world • Future work: • Virtual motion generator • VR/AR combined for serious/somatosensory game
  10. 10. Thank you very much!

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