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real-time pattern recognition

Myoelectric control techniques for a rehabilitation robot

Myoelectric control techniques for a rehabilitation robot

... the real time myoelectric control scheme. Using the developed pattern recognition myoelectric control scheme, one could develop robotic devices for rehabilitation ...the real ...

282

A comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movements

A comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movements

... simultaneous pattern recognition controller only slightly underper- formed the sequential controller on 1 DOF tasks and per- formed better than conventional control on 1 DOF ...with pattern ...

10

Multiple prediction combination and confidence measures for marine object detection

Multiple prediction combination and confidence measures for marine object detection

... IEEE International Conference on Computer Vision and Pattern Recognition CVPR’01, 511–518.. Robust real-time object detection.[r] ...

7

A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition

A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition

... because they usually have limited EMG recording sites for neural information extraction. As suggested in [24], the advanced surgical technique targeted muscle rein- nervation (TMR) [5] is a promising method for solving ...

16

Preliminary empirical and modeling analyses for model based diesel engine control.

Preliminary empirical and modeling analyses for model based diesel engine control.

... stage o f this research will focus on the real-time adaptive control based on heat release pattern diagnostic and/or cylinder pressure characteristic recognition. The[r] ...

88

Pattern Recognition of Power Systems Voltage Stability Using  Real Time Simulations

Pattern Recognition of Power Systems Voltage Stability Using Real Time Simulations

... It is mainly concerned with system ability to control voltage after large disturbance like system faults, loss of generators or circuit contingencies occur. This voltage stability depends on load characteristics and the ...

91

Detection and Recognition of Objects in a Real Time

Detection and Recognition of Objects in a Real Time

... Individuals see an a lot of objects in images with little effort, paying minimal notice to the way that the images of the objects may fluctuate to some degree in differing points of view, in a couple of particular ...

6

A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts’ law style assessment procedure

A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts’ law style assessment procedure

... in real time, between DC, the current clinical standard of care, and pattern recognition – based control strategies cur- rently being developed to control multi-articulate myoelec- tric upper ...

13

Distribution Systems Reconfiguration Using Pattern Recognizer Neural Networks

Distribution Systems Reconfiguration Using Pattern Recognizer Neural Networks

... using pattern recognition method is derived from a new approach to the ...a real-time control system, because of its on-line, feed-forward ...

10

A Real Time Face Recognition and authentication System

A Real Time Face Recognition and authentication System

... retinal pattern, signature and ...Face recognition seems to be more feasible in the sense that it uses passive and most common sensor a ...face recognition is particularly useful for security ...

7

Real-time intelligent pattern recognition algorithm for surface EMG signals

Real-time intelligent pattern recognition algorithm for surface EMG signals

... the recognition rate of the system, we incorporated the time-frequency fea- ...sEMG pattern recogni- tion is the need for more signal information to better dis- criminate amongst various hand ...of ...

12

Surface EMG pattern recognition for real-time control of a wrist exoskeleton

Surface EMG pattern recognition for real-time control of a wrist exoskeleton

... measurement system and a custom designed rig. sEMG signal rms values, AR model coefficients and waveform length were used to extract features and SVM was used to classify torque of the wrist both into 19 and 13 classes. ...

17

Real Time Classification of Face Expression Recognition

Real Time Classification of Face Expression Recognition

... Binary Pattern as a texture classification was able to overcome the effect of light intensity on the image so that the image affected by light intensity can produce feature pattern extraction that is almost ...

5

Adapted Active Appearance Models

Adapted Active Appearance Models

... Preprocess methods seek to substitute the AAM texture input for a preprocessed image, in order to minimize the influence of illumination. In Invariant features, an image feature invariant, or a less illumination ...

14

Real Time Face Recognition System for Time and Attendance Application

Real Time Face Recognition System for Time and Attendance Application

... the time of enrollment.Our system uses the face recognition approach for the automatic attendance of employees in the office room environment without employee’s ...Face recognition consists of two ...

9

Automated Real Time Face Recognition and Tagging

Automated Real Time Face Recognition and Tagging

... The face detection algorithm was derived from Viola-Jones face detection method. Face tracking was achieved by computing the centroid of each detected region, although it only worked in the presence of at most two ...

5

Implementation of Real Time Hand Gesture Recognition

Implementation of Real Time Hand Gesture Recognition

... In paper [5], earlier to silent backgrounds, endless gestures are acknowledged. In this paper four phases are introduced to make out the endless gestures they are Tracking real time in hand and extracting ...

6

Online pattern recognition in subsequence time series clustering

Online pattern recognition in subsequence time series clustering

... Our idea is about recording fixed amount of subsequence time series data in a buffer and analyze it time by time. It this way the new data will be assessed with the previous one and then they will ...

6

Toward Instantaneous Facial Expression Recognition Using Privileged Information

Toward Instantaneous Facial Expression Recognition Using Privileged Information

... The FER’s main purpose is to detect and to identify the human emotion expressed by face. It is mainly applied in Human Computer Interaction (HCI) to introduce a natural way of communication in the interaction between man ...

7

Real Time Face Recognition using Raspberry Pi II

Real Time Face Recognition using Raspberry Pi II

... the real time face recognition from the facial ...using real time database which is collection of images from 10 ...the real time face recognition system as input. ...

6

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