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In this paper we use the accelerometer of a smart phone to design and implement a fall monitor with mobility detection function for the user. We not only analyze the change of acceleration but also analyze the four typical actions of humans. These are going upstairs, going downstairs, standing up, sitting down, running and jumping. Then we compare the four actions with the characteristics of a fall. These are weightlessness, impact, immobility and overturning of the body. Because the waist is the center of gravity in the human body, our system is used more effectively when we place the smart phone at the waist. Our system is based on an open source system platform and the accelerometer in the smart phone.

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In this paper we use an embedded system, a low-power laser and a Webcam to design a monitor system for body breath detection which monitors and records the patient's breath and sends the information to a specific server through the Internet. Our system consists of two parts. For the first part a Webcam is used to capture images of the double reflection from a low-power laser projection and to transmit them to an embedded board. For the second part an image processing program using the temporal differencing algorithm to detect the reflective mark movement to determine the breath rate, is installed in the embedded board. The low-power laser is safe for a patient.