SAHOMASI (Smart Home Using MEMS Sensors & Ambient Intelligence)



SAHOMASI is a smart home that uses MEMS Sensors and ambient intelligence. By the year 2050, it is estimated that the number of the ageing population will exceed 2 billion. Thus, an environment that fits into this ever-growing ageing society is needed in order to allow the elderly to become independent and at the same time, preserve their well-being. Hence, Independent living can be defined as the integration of the various sensors with the person’s (ageing society) daily activities such as a person falling, thermal comfort, health monitoring, and so on.


Dependability is an essential measure of a system’s ability and it provides services such as availability, reliability, safety, security, and maintainability. Today, this concept has been widely used in the design and analysis of information systems. Due to the rapid increase of home devices and appliances in smart homes, its importance in control and management has increased drastically in order to guarantee the dependability of smart homes. In the present and future smart homes, it is widely expected that SAHOMASI will aid the elderly in managing his/her life independently and safely. SAHOMASI is an IoT-based platform infrastructure for Smart Homes with an ECHONET- Lite middleware to interconnect devices, people, systems and information resources together with Intelligent Services (SAHOMASI Smart-Hub) to improve the well-being of the elderly and disabled people. It is instrumental in facilitating efficient wellness care and assisted living systems in the Smart home environment and to disseminate and promote knowledge about the ECHONET standard specification. SAHOMASI Smart-Hub employs several Ambient Intelligence modules consisting of home appliance automation, human movement patterns, monitoring and tracking, prediction of home occupant’s lifestyle based on movement patterns and daily activities, notification services, alerting mechanisms and recommendations.


Dr. Manmeet Mahinderjit Singh initiated this project from School of Computer Science, University Sains Malaysia (USM) in collaboration with Japan Advanced Institute of Science and Technology (JAIST) and Collaborative Microelectronic Design Excellence Centre (CEDEC). The sensors involved in the SAHOMASI environment are PIR Sensor (motion sensor), FSR Sensor (pressure sensor), temperature and humidity sensor, wearable sensor (fall detection) and an accelerometer (fall detection). The appliances fitted with sensors in the SAHOMASI environment are the chair, table, sofa, medicine box, kettle and wearable wristband.




School of Computer Sciences, USM







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