Browsing by Author "Chin-Teng Lin"

Now showing 1 - 5 of 5

BIO-SIGNAL SENSOR
(2017-04-27)
Chin-Teng Lin
;
Shao-Wei Lu
;
Che-Lun Chang
;
Yi-Hsin Yu
A bio-signal sensor is provided, including: a dry electrode having a plurality of probes and a plurality of contacts correspondingly and electrically connected to the probes, wherein each of the probes senses and transmits an electrical signal to the corresponding contact; and a kit replaceably disposed between the dry electrode and a bio-signal measurement device and having a functional circuit for capturing the electrical signals from the contacts so as to generate a bio-signal and a signal output terminal electrically connected to the functional circuit for transmitting the bio-signal to the bio-signal measurement device.
CNN-based local motion estimation for image stabilization processing and its implementation
(2006)
Chin-Teng Lin
;
Shi-An Chen
;
Ying-Chang Cheng
;
Chao-Ting Hong
;
電控工程研究所
The objective of this paper is to investigate a novel design for local motion vectors (LMVs) of image sequences, which are often used in a digital image stabilization (IS) system. The IS technique removes unwanted shaking phenomenon in image sequences captured by hand-held camcorders. It includes two main parts such as motion estimation and compensation. Most of computation power occurs in the part of motion estimation. In order to reduce this complexity, an idea, which integrates an adaptive-threshold method and cellular neural networks (CNN) architecture, is designed to improve this problem. The design only implements the most important local motion estimation with the array size of 19x25 pixels. Experimental results with HSPICE simulation and CNNUM are shown that the proposed architecture fast searches the location of possible LVMs and has the capability of real-time operations.
Development of a real-time wireless embedded brain signal acquisition/processing system and its application on driver's drowsiness estimation
(2006)
Hung-Yi Hsieh
;
Sheng-Fu Liang
;
Li-Wei Ko
;
May Lin
;
Chin-Teng Lin
In this paper, a portable real-time wireless embedded brain signal acquisition/processing system is developed. The proposed system integrates electroencephalogram signal amplifier technique, wireless transmission technique, and embedded real-time system. The development strategy of this system contains three parts: First, the Bluetooth protocol is used as a transmission interface and integrated with the bio-signal amplifier to transmit the measured physiological signals wirelessly. Second, the OMAP (Open Multimedia Architecture Platform) is used as a development platform and an embedded operating system for OMAP is also designed. Finally, DSP Gateway is developed as a mechanism to deal with the brain-signal analyzing tasks shared by ARM and DSP. A driver's cognitive-state estimation program has been developed and implemented on the proposed dual core processor-based real time wireless embedded system for demonstration.
Multi-objects tracking system using adaptive background reconstruction technique and its application to traffic parameters extraction
(2006)
Chin-Teng Lin
;
Yu-Chen Huang
;
Ting-Wei Mei
;
Her-Chang Pu
;
Chao-Ting Hong
In this paper, we present a real-time multi-objects tracking system which can detect various types of moving objects in image sequences of traffic video obtained from a stationary video camera. Using the adaptive background reconstruction technique can effectively handle with environmental changes and obtain good results of objects extraction. Besides, we introduce a robust region- and feature-based tracking algorithm with plentiful features to track correct objects continuously. After tracking objects successfully, we can analyze the tracked objects' properties and recognize their behavior for extracting some useful traffic parameters. According to the structure of our proposed algorithms, we implemented a tracking system including the functions of objects classification and accident prediction. Experiments were conducted on real-life traffic video of some intersection and testing datasets of other surveillance research. The results proved the algorithms we proposed achieved robust segmentation of moving objects and successful tracking with objects occlusion or splitting events. The implemented system also extracted useful traffic parameters.
SENSOR APPARATUS AND MEASUREMENT APPARATUS HAVING THE SAME
(2017-04-27)
Chin-Teng Lin
;
Yi-Hsin Yu
A sensor apparatus is provided, including: a hollow cylindrical sleeve having a first side and a second side disposed on two end openings thereof, respectively; an electrode disposed on the first side of the sleeve for measuring a signal; a conductive line electrically connected to the electrode for transmitting the signal measured by the electrode; and a siphoning portion having a suction port connected and tightly sealed with the second side of the sleeve and an outlet port for discharging gas from the sleeve, thus creating a vacuum effect to enable the electrode to be sucked to the head of a subject. Therefore, the present invention avoids the conventional drawback of discomfort of the subject caused by the use of a conductive material.