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Wearable Photoelectric Fingertip Force Sensing System Based on Blood Volume Changes without Sensory Interference.

Kangkang Dong1, Yao Chu2,3, Xuanchen Tian1

  • 1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.

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Summary

A new wearable photoelectric fingertip force sensing system (PFFS) measures fingertip force by detecting blood volume changes. This non-invasive method digitizes craftsman skills, like Traditional Chinese Medicine pulse diagnosis, without affecting natural touch.

Keywords:
TCM pulse diagnosisfingertip force sensingphotoelectric plethysmographywearable sensorwithout sensory interference

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Area of Science:

  • Biomedical Engineering
  • Sensory Systems
  • Wearable Technology

Background:

  • Accurate fingertip force monitoring is vital for digitizing skilled craft.
  • Existing force sensors disrupt natural tactile sensation.
  • Traditional Chinese Medicine (TCM) pulse diagnosis requires precise fingertip force measurement.

Purpose of the Study:

  • To develop a non-invasive fingertip force sensing method.
  • To design a wearable system for digitizing TCM pulse diagnosis.
  • To overcome limitations of conventional force sensors.

Main Methods:

  • Developed a photoelectric fingertip force sensing system (PFFS).
  • Utilized photoelectric plethysmography to detect blood volume changes in the fingertip.
  • Investigated effects of light wavelengths, temperature, and heartbeat artifacts on sensor output.

Main Results:

  • PFFS successfully detects fingertip force by correlating blood volume changes with output current.
  • Established a relationship between blood volume changes and fingertip force using experimental and theoretical approaches.
  • Demonstrated PFFS feasibility for TCM pulse diagnosis without sensory interference.

Conclusions:

  • The PFFS enables non-invasive digitalization of fingertip forces during TCM pulse diagnosis.
  • The system shows potential for object viscosity perception and gesture recognition.
  • This technology advances the digitization of natural fingertip force sensing.