This work presents a research on assistive technology acceptability conducted in the framework of a wider public funded project called MAMMA (Multimodal Ageing Monitoring and Assistance) involving companies, university and a health care institution aimed at developing a telemonitoring system to support autonomously living elderly people. MAMMA system is aimed to connect permanently elderly patients with their relatives and care givers. In this way, users can continue to live their everyday life with naturality but continuously monitored as in the hospital. In case of anomalous events or health conditions, the system will provide an alarm to care givers and relatives. The monitoring is based on the collection of biological data (ECG and blood pressure) and information related to users movements. The collected data are transmitted to a hub where they are processed, compared and evaluated. The hub is able to create patterns between biological condition and movements (if the user is sleeping, walking, falling...) and define anomalous situations. Eventual alarms are transmitted to the remote assistant & health management. In our hypothesis, if it is possible to provide this technology to elderly people and if they accept it, then it will be easy to use it for social improvement goals. In the situation where technological issues are solved, acceptability is the key factor. For this reason we developed a multidisciplinary approach to design systems and services that can match the specific needs of elderly users.
Designing Wearable and Environmental Systems for Elderly Monitoring at Home
M. Romero;G. Andreoni
2012-01-01
Abstract
This work presents a research on assistive technology acceptability conducted in the framework of a wider public funded project called MAMMA (Multimodal Ageing Monitoring and Assistance) involving companies, university and a health care institution aimed at developing a telemonitoring system to support autonomously living elderly people. MAMMA system is aimed to connect permanently elderly patients with their relatives and care givers. In this way, users can continue to live their everyday life with naturality but continuously monitored as in the hospital. In case of anomalous events or health conditions, the system will provide an alarm to care givers and relatives. The monitoring is based on the collection of biological data (ECG and blood pressure) and information related to users movements. The collected data are transmitted to a hub where they are processed, compared and evaluated. The hub is able to create patterns between biological condition and movements (if the user is sleeping, walking, falling...) and define anomalous situations. Eventual alarms are transmitted to the remote assistant & health management. In our hypothesis, if it is possible to provide this technology to elderly people and if they accept it, then it will be easy to use it for social improvement goals. In the situation where technological issues are solved, acceptability is the key factor. For this reason we developed a multidisciplinary approach to design systems and services that can match the specific needs of elderly users.
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