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Wearable Sensor Systems for Seamless Human-Machine Interaction

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ESP32 Hand Gesture 3D Printing
Tianshi (Tim) Yu
Author
Tianshi (Tim) Yu
Engineer / researcher specialising in assistive robotics, XR and human-robot interaction

Wearable Soft Sensor System for Hand Gesture Recognition
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This integrated sensor system comprises a 3D-printable soft sensor body and an embedded signal-processing and data-transmission module. It is highly wearable and achieves 97.7% accuracy for 13 hand gestures, making it suitable for virtual-reality interaction and prosthesis control.

Extracted Petri net from EMG and motion data
  • Programmed the ESP32 microcontrollers: implemented sensor-data acquisition and transmission firmware using SPI, ADC, BLE, and Wi‑Fi, and developed a virtual-reality interaction environment in Unity (C#).

  • Manufactured the sensor body by 3D printing using soft thermoplastic polyurethane (TPU) material.

  • Collaborated with colleagues at Human Robotics Lab. Results were published in the IEEE Journal of Biomedical and Health Informatics (IEEE JBHI). [Paper]