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Dataset Information

Tactile Signatures and Hand Motion Intent Recognition for Wearable Assistive Devices.


ABSTRACT: Within the field of robotics and autonomous systems where there is a human in the loop, intent recognition plays an important role. This is especially true for wearable assistive devices used for rehabilitation, particularly post-stroke recovery. This paper reports results on the use of tactile patterns to detect weak muscle contractions in the forearm while at the same time associating these patterns with the muscle synergies during different grips. To investigate this concept, a series of experiments with healthy participants were carried out using a tactile arm brace (TAB) on the forearm while performing four different types of grip. The expected force patterns were established by analysing the muscle synergies of the four grip types and the forearm physiology. The results showed that t

SUBMITTER: Stefanou T 

PROVIDER: S-EPMC7805773 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature