AIMC Topic: Hand

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Application of multi-output support vector regression on EMGs to decode hand continuous movement trajectory.

Bio-medical materials and engineering
Applications of neural machine interfaces have received increased attention during the last decades. It is crucial to realize the continuous control of prosthetic devices based on biological signals. In order to deal with the highly nonlinear relatio...

Mechanical Model of Traditional Thai Massage for Integrated Healthcare.

Journal of healthcare engineering
In this study, a mechanical model was developed, aiming to provide standardized and programmable traditional Thai massage (TTM) therapy to patients. The TTM was modeled and integrated into a mechanical hand (MH) system, and a prototype massage chair ...

Dynamic feature selection applied to the recognition of grasping movements in the control of bioprosthetic hand.

Studies in health technology and informatics
The paper presents novel method of dynamic feature selection (DFS) and its application in the problem of recognition of patient intent in the bioprosthesis control system. In the proposed approach features are selected dynamically, i.e. separately fo...

Modulation of grasping force in prosthetic hands using neural network-based predictive control.

Methods in molecular biology (Clifton, N.J.)
This chapter describes the implementation of a neural network-based predictive control system for driving a prosthetic hand. Nonlinearities associated with the electromechanical aspects of prosthetic devices present great challenges for precise contr...