KNN Learning Techniques for Proportional Myocontrol in Prosthetics

09/18/2021
by   Tim Sziburis, et al.
0

This work has been conducted in the context of pattern-recognition-based control for electromyographic prostheses. It presents a k-nearest neighbour (kNN) classification technique for gesture recognition, extended by a proportionality scheme. The methods proposed are practically implemented and validated. Datasets are captured by means of a state-of-the-art 8-channel electromyography (EMG) armband positioned on the forearm. Based on this data, the influence of kNN's parameters is analyzed in pilot experiments. Moreover, the effect of proportionality scaling and rest thresholding schemes is investigated. A randomized, double-blind user study is conducted to compare the implemented method with the state-of-research algorithm Ridge Regression with Random Fourier Features (RR-RFF) for different levels of gesture exertion. The results from these experiments show a statistically significant improvement in favour of the kNN-based algorithm.

READ FULL TEXT

Authors

page 1

page 2

11/13/2016

Hand Gesture Recognition for Contactless Device Control in Operating Rooms

Hand gesture is one of the most important means of touchless communicati...
12/02/2015

Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns

Spotting signal patterns with varying lengths has been still an open pro...
12/24/2020

Control of computer pointer using hand gesture recognition in motion pictures

A user interface is designed to control the computer cursor by hand dete...
07/29/2019

ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

The ChaLearn large-scale gesture recognition challenge has been run twic...
01/15/2019

Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

Gesture recognition is a hot topic in computer vision and pattern recogn...
03/15/2019

GestureKeeper: Gesture Recognition for Controlling Devices in IoT Environments

This paper introduces and evaluates the GestureKeeper, a robust hand-ges...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.