The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Person re-identification has received considerable attention in the image processing, computer vision and pattern recognition communities because of its huge potential for video-based surveillance applications and the challenges it presents due to illumination, pose and viewpoint changes among non-overlapping cameras. Being different from the widely used low-level descriptors, visual attributes (e...
Quantitative analysis and detection of abnormalities for electroencephalogram (EEG) recordings during evoked activities are essential for clinical diagnosis on neurological disorders. However, the process of interpreting EEG is time consuming and requires experienced electroencephalographers (EEGers). In this study, a method of automatic EEG interpretation during hyperventilation was proposed. The...
The paper presents an ongoing investigation of applying finite state machines (FSM) to drive a meal assistance robot based on electromyogram (EMG) signals. An adapting single-threshold method on EMG power is proposed to recognize different elevation gestures. Predefined control commands are output by FSM based on the extracted EMG features, and used to operate the robot. The performance of control...
The objective of this study is to improve the accuracy of classification for a multi-imagery task by using canonical variates analysis in a brain-computer interface (BCI). Electroencephalogram (EEG) is recorded from subjects performing a four-class motor imaginary task, left hand, right hand, foot and tongue. Temporal features are extracted as squared band pass filtered EEG, and frequency features...
The paper presents an investigation into a genetic algorithm based time-frequency approach for extracting features from the electroencephalogram (EEG) recorded from subjects performing a four-class self-paced movement task, left and right shoulder movement together with left and right foot movement. The objective is to predict left and right movements and accelerate the communication in a brain-computer...
This paper firstly describes the smart car control system based on EMG signal. Through analyzing the characteristics of EMG signal, the algorithm extracting the features of EMG signal by comparison the power of EMG signal with threshold was presented, the choice of parameters in algorithm were also given. Based on the features of EMG signal, the rising edge control, pulse width control and falling...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.