New technology and old habits: the role of age as a technology chasm
Technology and Health Care
A review of smart homes-Present state and future challenges
Computer Methods and Programs in Biomedicine
Behaviour & Information Technology - Designing Computer Systems for and with Older Users
Enabling affordable and efficiently deployed location based smart home systems
Technology and Health Care - Smart Environments: Technology to Support Healthcare
Detection of movement in bed using unobtrusive load cell sensors
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Single activity sensor-based ensemble analysis for health monitoring of solitary elderly people
Expert Systems with Applications: An International Journal
Elderly daily activity habits or lifestyle in their natural environments
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
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The aim of this paper is to introduce a smart tool for the assessment of the mobility of patient with motor disorders and to evaluate its performance through some initial experiments. These experiments are based on a system which is composed of sensors connected to a Personal Computer (PC) using data acquisition cards and a communication network. The PC includes a data acquisition and processing software. This system has been installed in a patient's housing (a bedroom and a washroom) in a long-stay setting. Pre-established travel and activity (going to bed, getting up, visiting the washroom…) patterns of patient in the housing including their duration have been defined by physicians for the experiments. A volunteer participated in the experiments and the results of his mobility obtained by the data processing software were compared with his real mobility. An agreement was found between the proposed assessment system and the experiments, thereby validating functioning of the whole system. Then, the system has been used to monitor a patient over a period of 39 nights. Again there is a good agreement between the characteristics derived from the system and the findings of the caring staff in charge of the patient's routine night monitoring. Data collected during 24 consecutive hours have been used to identify and characterise the patient's whole day mobility. This study paves the way for a new assessment system of the mobility of patient thus allowing the follow up of patients suffering from dementia and to study their significant mobility changes over time by introducing an indicator of mobility which can be used to assess their motor behavioural disorders.