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Human gesture interaction recognition algorithm based on augmented reality in smart wristband equipment

Author

Listed:
  • Cuirong Zhao
  • Yan Chen

Abstract

In order to overcome the poor recognition effect of traditional gesture recognition methods, this paper proposes a human gesture interactive recognition algorithm based on augmented reality for intelligent wristband device. The moving window method is used to detect the human gesture change image, and the mean filter is used to smooth the gesture image. The human gesture features of smart wristband device are extracted by augmented reality technology, and the interactive recognition model of human gesture of smart wristband device is constructed. The virtual real synthesis technology is used to synthesise the real-scene image and the virtual position according to the obtained spatial coordinates. Complete the human gesture interactive recognition of intelligent wristband device. Simulation results show that the recognition accuracy of the proposed method can reach 99.9%, and the recognition efficiency is significantly improved.

Suggested Citation

  • Cuirong Zhao & Yan Chen, 2023. "Human gesture interaction recognition algorithm based on augmented reality in smart wristband equipment," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 27(1/2), pages 65-79.
    • Handle: RePEc:ids:ijpdev:v:27:y:2023:i:1/2:p:65-79
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