Towards control of dexterous hand manipulations using a silicon Pattern Generator.
This work demonstrates how an in silico Pattern Generator (PG) can be used as a low power control system for rhythmic hand movements in an upper-limb prosthesis. Neural spike patterns, which encode rotation of a cylindrical object, were implemented in a custom Very Large Scale Integration chip. PG control was tested by using the decoded control signals to actuate the fingers of a virtual prosthetic arm. This system provides a framework for prototyping and controlling dexterous hand manipulation tasks in a compact and efficient solution.
Russell
Alexander
A
Department of Electrical and Computer Engineering at the Johns Hopkins University, Baltimore, MD 21218, USA. arussell@jhu.edu
Tenore
Francesco
F
Singhal
Girish
G
Thakor
Nitish
N
Etienne-Cummings
Ralph
R
D000200:Action Potentials / Q000502:physiology; D000674:Amputees / Q000534:rehabilitation; D001185:Artificial Intelligence; D001186:Artificial Limbs; D001696:Biomechanical Phenomena; D011211:Electric Power Supplies; D004867:Equipment Design; D005385:Fingers; D006225:Hand; D006801:Humans; D009119:Muscle Contraction / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011474:Prosthesis Design; D012371:Robotics / Q000295:instrumentation*; D013813:Therapy, Computer-Assisted / Q000379:methods