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Microsoft kinect-based artificial perception system for control of functional electrical stimulation assisted

Matija Strbac¹, Slobodan Kočović², Marko Marković³

¹University of Belgrade-Faculty of Electrical Engineering, 11000 Belgrade, Serbia ; Tecnalia Serbia Ltd., 11000 Belgrade, Serbia.

Biomed Research International

|September 10, 2014

Summary

This study introduces a computer vision algorithm for functional electrical stimulation (FES) assisted grasping. The system accurately selects grasp types, enhancing FES control for therapy and home use.

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Area of Science:

Biomedical Engineering
Computer Vision
Rehabilitation Technology

Background:

Functional electrical stimulation (FES) requires sophisticated control systems for effective grasping.
Existing FES control methods often lack real-time environmental perception.
Mimicking biological control systems offers a promising avenue for FES enhancement.

Purpose of the Study:

To develop and evaluate a computer vision algorithm for FES-assisted grasping.
To create an artificial perception system that mimics human visual feedback for grasp planning.
To enable intuitive and accurate control of FES systems for grasping tasks.

Main Methods:

A computer vision algorithm integrating a heuristic model was developed.
Real-time hand tracking and object analysis were performed using Microsoft Kinect data.
The algorithm identified spatial synergies and temporal synchrony for FES control signal estimation.

Main Results:

The algorithm achieved over 90% accuracy in selecting the correct grasp modality across various objects and scenarios.
The system demonstrated real-time identification of object-hand spatial relationships.
The developed system is portable, low-cost, and robust for clinical and home use.

Conclusions:

The proposed algorithm effectively mimics human visual perception for FES-assisted grasping.
This artificial perception system enhances FES control by enabling appropriate grasp selection.
The technology holds significant potential for functional electrical therapy and home-based rehabilitation.