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A Highly Sensitive Self-Powered Flex Sensor for Prosthetic Arm and Interpreting Gesticulation
2020
Conference Paper

A Highly Sensitive Self-Powered Flex Sensor for Prosthetic Arm and Interpreting Gesticulation

Pukar Maharjan, T. Bhatta, H. Cho, Jae Yeong Park
2020 IEEE MEMS Conference
Abstract

This paper presents a highly sensitive, self-powered triboelectric flex sensor designed for advanced applications such as prosthetic arm control and interpreting gesticulation. The sensor can efficiently detect finger bending motions and monitor hand gestures without needing an external power supply, paving the way for more intuitive human-machine interfaces.

Key Contributions
  • Development of a highly sensitive, self-powered triboelectric flex sensor.
  • Demonstrated application in prosthetic arm control.
  • Capability to interpret gesticulation for applications like sign language translation.
  • Facile fabrication process with potential for cost-effective and scalable production.
Methodology

The self-powered flex sensor was fabricated based on the triboelectric effect. Its performance was evaluated by its ability to detect finger bending motions and its application in controlling a prosthetic arm and interpreting hand gestures was demonstrated.

Results & Impact

The sensor exhibited high sensitivity in detecting finger movements. It was successfully used to control a prosthetic arm and interpret gesticulations, showing its potential for creating more advanced and intuitive human-machine interfaces and assistive devices.

Publication Details
Journal:

2020 IEEE MEMS Conference

Year:

2020

Type:

Conference Paper

DOI:

10.1109/MEMS46641.2020.9056118

Keywords
Self-Powered Sensor
Flex Sensor
Triboelectric
Prosthetic Arm
Gesticulation
Sign Language
Human-Machine Interface