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Resembled Tactile Feedback for Object Recognition Using a Prosthetic Hand
Luis Vargas
, He Huang
, Yong Zhu
, Derek Kamper
,
Xiaogang Hu
Mechanical Engineering
Huck Institutes of the Life Sciences
Penn State Neuroscience Institute
Department of Physical Medicine and Rehabilitation
Research output
:
Contribution to journal
›
Article
›
peer-review
18
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Scopus citations
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Dive into the research topics of 'Resembled Tactile Feedback for Object Recognition Using a Prosthetic Hand'. Together they form a unique fingerprint.
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Keyphrases
Tactile Feedback
100%
Object Recognition
100%
Prosthetic Hand
100%
Object Size
50%
Tactile Sensation
33%
Joint Position
33%
Controller
16%
Multi-channel
16%
Prosthetic Joint
16%
Position Information
16%
Electromyography Signal
16%
Assistive Devices
16%
Electrical Stimulation
16%
Upper Arm
16%
Median Nerve
16%
Flexor
16%
Muscle Activation Patterns
16%
Contact Force
16%
Ulnar Nerve
16%
Extensor
16%
Object Properties
16%
Myoelectric
16%
Recognition Accuracy
16%
Velocity Control
16%
Motor Pathways
16%
Nerve Bundles
16%
Joint Velocity
16%
Object Shape
16%
Onset Timing
16%
Transcutaneous Electrical Nerve Stimulation
16%
Finger Flexor muscles
16%
Object Contact
16%
Sensory Pathways
16%
Position Controller
16%
Interaction with Objects
16%
Engineering
Object Recognition
100%
Tactile Feedback
100%
Prosthetic Hand
100%
Prosthetics
33%
Object Shape
33%
Joints (Structural Components)
16%
Multichannel
16%
Contact Force
16%
Recognition Accuracy
16%
Position Information
16%
Activation Level
16%
Neuroscience
Median Nerve
100%
Ulnar Nerve
100%
Electrotherapy
100%