The population of elderly people keeps increasing rapidly. It is becoming a predominant aspect of our societies. It is therefore necessary to find ways to ensure the care of the needs of older people. We propose the project AngelHome, an innovative home automation system for Ambient Assisted Living that aims to improve the lives of people in their homes. In this way they can live independently and safely within their home without changing their habits. Angel Home offers an integrated and cooperative system with sensors and SOs to enhance the comfort inside the home. It also allows to ensure the safety people through the use of systems able to detect emergency situations. Another objective of this project is the identification and classification of rare events, through machine learning approach, based on data coming from different embedded systems and from the information system. This amount of information (located in a cloud system) also enhances the intelligence of the house, which will learn from what happened in the past.

Chapter Contents:

• Abstract
• 5.1 Introduction
• 5.2 General description of the Angel Home system
• 5.2.1 Architecture of the system
• 5.2.2 Gateway description
• 5.2.3 Monitoring system: Zabbix
• 5.3 Analysis and development of an automatic system for comfort control in the home
• 5.3.1 SmartSensor List
• 5.3.2 Smart Sensors: prototyping
• 5.3.3 Testing in a controlled environment
• 5.4 Psycho cognitive analysis
• 5.5 Analysis and implementation of a monitoring system of the user's physical and psychological behaviors weak (SmartCam and SmartTv)
• 5.5.1 SmartCam
• 5.5.1.1 Main features
• 5.5.2 SmartTv
• 5.6 Classification and machine learning
• 5.6.1 Analyzing data in AngelHome: behavior and classification sensors
• 5.7 Conclusion and future works
• Acknowledgments
• References

Inspec keywords: patient monitoring; geriatrics; assisted living; learning (artificial intelligence)

Other keywords: machine learning approach; embedded systems; innovative home automation system; ambient assisted living; information system; elderly people; AngelHome

Subjects: Biology and medical computing; Biomedical communication; Biomedical engineering; Automated buildings; Knowledge engineering techniques