Intelligent system for sleep-detection using digital image processing technique

Intelligent Systems are automated systems which do not require any human effort to operate. Systems which detect human activities and function accordingly are very difficult to design. At present, there are many Intelligent Systems which detect the human presence, but there is no Intelligent System to detect whether the human is asleep or awake. This research develops an Intelligent System to overcome this problem by using a digital image processing method. This method employs a Closed Circuit Television (CCTV) which is installed in the area where the Intelligent System is required. The CCTV records all the activities in the given area. By performing processing on digital images, the human face is recognized and compared with same facial attributes after a few intervals of time. The facial recognition of a human is achieved by using a Hidden Markov Model (HMM), which involves the facial feature extraction by the Singular Value Decomposition (SVD). Motion Detecting systems which are used to enhance the facial recognition rate are discussed. The image comparison between two outputs by correlation technique is explained, based on which a decision is made for the corresponding application.