Videos (.mp4 format)

Smart Home Automation (SHA) has significantly improved homes’ convenience, comfort, security, and safety. It has gained widespread use due to its intelligent monitoring and quick response capabilities. The current state of SHA enables effective monitoring and motion detection. However, false notifications remain a significant challenge, as they can cause unnecessary alarms in intrusion detection systems. To address this, we propose an intelligent model for a smart home security system that uses computer vision techniques to detect trespasser movement near the boundary wall.

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The dataset contains short video clips of four shoulder exercises.

  1. Arm flexion and extension
  2. Arm abduction and adduction
  3. Arm lateral and medial rotation
  4. Arm circumduction

 

The videos are labeled as either correct or incorrect.

 

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537 Views