Algorithm Design And Implemention Of Intelligent Home For The Elderly And The Handicapped

In recent years, as the number of the elderly and the disabled is dramatically increasing, there are more family safety accidents, resulting in huge losses to individuals, families and society. Therefore, the intelligent home for the elderly and the disabled will have good application prospects and profound social significance.This paper proposes and complements the algorithm of intelligent home, mainly including three parts; fall detection, household appliances control with gestures and automated vehicle navigation.Fall detection:Videos of human characteristic behaviors in different scenes and different stances are captured with a binocular camera. Then the height of the human body is obtained with the method of stereo vision camera calibration. HMM method is used to classify behaviors and judge fall events.Gestures control household appliances:the elderly and disabled use specific gestures to send certain commands and control household appliances. This method can avoid the user from touching dangerous household appliances; it also resolves the hidden trouble of reaching stuffs in high places. This algorithm extracts the hand area with advanced OTSU method, use Camshift and Kalman methods to track gestures action and issue commands with the change of gestures.Automated vehicle navigation:the elderly and the disabled are slow especially doing special operation such as turning. Therefore, vehicle automation will be the future trend of which curve detection and alarming is an important part. An experiment is conducted to identify whether the road is curving and judge the direction.