Browsing by Author "Chien, Huai-Ching"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item type:Item, Development of vital signs detection system with ground noise cancellation(2014-11-01) ;Liu, Chih-Chieh ;Hung, Ching-Hua ;Chien, Huai-Ching ;機械工程學系Department of Mechanical EngineeringThis study provides an experimental procedure and a noise immunity method for detecting the vital signs of a person in a vehicle. Velocity sensors that are convenient and accurate at acquiring data are adopted to detect the involuntary body vibrations. Two kinds of algorithms were proposed for detecting the vital signs in different environments with various ground noise level. To reduce the ground noise effect generated from extreme environments, a ground sensor also is used to measure the vibration amplitude of ground surface for calculating the car body response to provide excellent noise cancelling method. Measuring and processing the vibrations are effective methods for detecting people concealed in a vehicle. The complete detecting system was verified through experiment conducted with a passenger car.Item type:Item, The application of vital signs detection system for detecting in a truck with noise cancellation method(2015-02-01) ;Liu, Chih-Chieh ;Hung, Ching-Hua ;Chien, Huai-Ching ;機械工程學系Department of Mechanical EngineeringThis research proposes an experimental procedure and ground noise cancellation method for detecting the presence of a person in a 3.5 ton truck, in an environment with high levels of ground noise. This study addresses the need for non-intrusive detection system that involves using velocity sensors placed on the chassis-frame to detect the weak vibrations generated by any human inside the vehicle. An additional velocity ground sensor is placed near the front tire to collect the ground noise signals that are used to estimate the ground noise response of the truck by manipulating a 2-DOF (degree of freedom) equivalent truck model. To increase the discriminative rate in the context of two scenarios, a person present and a person absent from the vehicle, a valid algorithm is proposed that decreases the ground noise effect emanating from the environment. Furthermore, two types of sensor location are discussed to promote the practicability of the proposed system.