Abstract: The wrist watch pulse monitor is a device, which can be worn around the wrist to monitor the pulse rates and alert us in case of any abnormality in the operation of heart. It basically uses a sensor and a micro controller. The sensor senses the pulse rate and the micro controller displays the pulse rate and indicates when the pulse rate is abnormal. In addition to this the wrist watch is provided with an identification code which gives the patient details like age, address etc., this helps in providing the right kind if treatment for the patient .This saves precious time incase of emergency. As the ideal pulse rate varies with age and is different when you exercise, the device has a mode select option where you can select between normal and exercise mode. Also there are various age ranges from which you can set the device to suit your own age.

Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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Abstract: It is available in the file which you can download from the link below.

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Abstract: The wrist watch pulse monitor is a device, which can be worn around the wrist to monitor the pulse rates and alert us in case of any abnormality in the operation of heart. It basically uses a sensor and a micro controller. The sensor senses the pulse rate and the micro controller displays the pulse rate and indicates when the pulse rate is abnormal. In addition to this the wrist watch is provided with an identification code which gives the patient details like age, address etc., this helps in providing the right kind if treatment for the patient .This saves precious time incase of emergency. As the ideal pulse rate varies with age and is different when you exercise, the device has a mode select option where you can select between normal and exercise mode. Also there are various age ranges from which you can set the device to suit your own age.

Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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Abstract: Face detection is a two-class problem. Given an image, we would like to confidently say whether a face is present in it. The face detection procedure involves preprocessing of the image followed by detection. Preprocessing involves histogram equalization to improve the quality of the image. The preprocessed image is scanned to detect the edges; finally the edge-detected area is given as input to LDA classifier, which returns the location of the face, if present. The LDA classifier is trained on the whole face image. The input to the classifier would be the x and y co-ordinates of a window and the window is moved until the entire image is traced. The classifier returns an output measure, which is compared with the stored measure of image in the database, and the appropriateness is checked. The same procedure is repeated for different resolution levels and thus the face is detected.

Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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Abstract: It is available in the file which you can download from the link below.

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Abstract:This paper discusses the solution to the measurement problem by a vision system using photogrammatic image processing to determine the motion of objects in real time. Performance characteristics are presented. The control problem is addressed by a new technique dealing effectively with the challenge posed by the noncollocated sensor/actuator configuration on the flexible robot structure. The laboratory implementation of the measurement and control concepts is discussed. Preliminary results validate the concepts

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