Two-Dimensional Stretchable Strain Sensor for Facial Expression-Driven Rehabilitation Systems
Abstract
Numerous researches have been conducted on the utilization of EMG (Electromyography) signal to control various systems in assisting the impaired. While effective, EMG signals are very complicated; its pattern recognition and classification are very challenging. As an alternative, we have developed a one-dimensional (1D) stretchable strain sensor for detection of human facial expression to control various systems to assist the elderly and stroke patients with limited ability. Facial expression can be measured more easily and rapidly using strain sensors instead of EMG signal as it is more visible and requires minimal human motion. However, one-dimensional sensors have detection limitations, especially since facial expressions are multi-dimensional. This study aims to design 2D printed stretchable facial sensors for facial expression-driven rehabilitation systems. Next a pattern classification algorithm and adaptive control law in driving the systems will be developed. The sensor will be modelled using finite element modeling software and fabricated using low-cost printing techniques. The impedance-based sensors will be used to acquire impedance signals based on the human facial expression and drive an upper limb exoskeleton device for rehabilitation therapy. A pattern classification algorithm based on neural-network to classify sensor states will be developed and an adaptive controller will be formulated for Assistance As Needed (AAN) strategy and compensate the uncertain parameters. Due to its reliance on facial motions instead of EMG signals, it is anticipated that the proposed system will be simpler, more user-friendly and effective in assisting impaired individuals to control their desired motions.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 19, 2018
- Source ID
- FA23861814105
Entities
People
- Norsinnira Zainul Azlan
Organizations
- Air Force Office of Scientific Research
- International Islamic University Malaysia
- United States Air Force