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humanactivityrecognition

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For HAR, our novel HDAD (IGAV) dataset was constructed by performing 4 dynamic and 3 static activities with the accelerometer and gyroscope sensors of the IOS smart phone in two different positions for a total of 15 seconds. Mentioned activities were collected in real time by placing them on the waist of a total of 10 volunteers.

  • Updated Apr 17, 2021
  • Python

Vision-Guided Smart Home Control is an innovative project that combines the power of computer vision with the connectivity of IoT to create a seamless human activity recognition system. Using OpenCV for accurate motion detection and pySerial for IoT integration, ActionSense transforms how environments respond to human actions, enhancing automation.

  • Updated Jun 28, 2025
  • Python

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