Dangerous Behaviors for Smart Home Prediction based on the Activity Records of Daily Life

• Main Authors: JYUN-LONG JHUANG, 莊竣龍
• Other Authors: SHU-CHING WANG
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/73637309192537843486

碩士 === 朝陽科技大學 === 資訊管理系 === 104 === In an ageing society, the living safety at home of elderly person has gained attention and concern of the parties in the field. However, the cost of providing a safety smart home environment is very high. Therefore, according to the elderly person's behavior patterns, the “Be-Health Home” is proposed, which can provide more safety environment in any time. Through to observe activities of daily living and cross validation with behavior, the health care in smart home can be reached. The observed behaviors by “Be-Health Home” can be divided into normal and non-normal. If the behavior is detected as normal, then continue to track monitoring. If the behavior is classified as non-normal, the behavior will further be analyzed to distinguish abnormal or dangerous behavior. If the behavior is judged to be abnormal state, then the frequency of detection of tracking and monitoring is increased to prevent dangerous behavior. If the behavior is determined as dangerous, warning is issued and the subsequent processing immediately. However, through the proposed model, the safety living environment can be obtained.