Optimal Channel-set and Feature-set Assessment for Foot Movement Based EMG Pattern Recognition

Towards an Optimal Feature Set for Environmental Sound Recognition

Feature selection for audio retrieval is a non-trivial task. In this paper we aim at identifying an optimal feature combination for environmental sound recognition. The feature combination is constructed from a broad set of features. Additionally to state-of-the-art features, we evaluate the quality of audio features we previously introduced for another domain. We examine the properties of feat...

Extending the Feature Set for Automatic Face Recognition Extending the Feature Set for Automatic Face Recognition

Automatic face recognition has long been studied because it has a wide potential for application. Several systems have been developed to identify faces from small face populations via detailed face feature analysis, or by using neural nets, or through model based approaches. This study has aimed to provide satisfactory recognition within large populations of human faces and has concentrated on ...

Recent Advances in EMG Pattern Recognition for Prosthetic Control

Extracting time-frequency feature of single-channel vastus medialis EMG signals for knee exercise pattern recognition

The EMG signal indicates the electrophysiological response to daily living of activities, particularly to lower-limb knee exercises. Literature reports have shown numerous benefits of the Wavelet analysis in EMG feature extraction for pattern recognition. However, its application to typical knee exercises when using only a single EMG channel is limited. In this study, three types of knee exerci...

A novel STFT-ranking feature of multi-channel EMG for motion pattern recognition

Electromyography (EMG) is widely applied for neural engineering. For motion pattern recognition, many features of multi-channel EMG signals were investigated, but the relationships between muscles were not considered. In this study, a novel STFT-ranking feature based on short-time Fourier transform (STFT) is proposed. The novelty of STFT-ranking features is considering and covering the relation...