LARES: An AI-based teleassistance system for emergency home monitoring |
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| Affiliation: | 1. Department of Electronic Systems Engineering, School of Engineering, University of Sao Paulo, Sao Paulo, Brazil;2. Electrical Department, Federal Institute of Education, Science and Technology, Sao Paulo, Brazil;1. Hosei University, Tokyo, Japan;2. Rissho University, Tokyo, Japan;1. Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India;2. Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India;1. Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India;2. CVR College of Engineering, Hyderabad, Telangana, India |
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| Abstract: | The latest progresses in medicine are helping people live longer and better. An ageing population is a sign of a developed society with an advanced health care system. Improved life expectancy should be welcomed as a major achievement, but it should not cause a financial or social burden. In this scenario, it is critical to support older and handicap adults to continue living independently and retaining their current lifestyle. New technological advances in Wireless Sensors Networks (WSN) and Artificial Intelligence (AI) can facilitate this task.In this direction we present lares, an AI-based system that integrates a (i) WSN for receiving information of the environment and the dependent person, (ii) an autonomous robot able to take decisions based on the received information, and (iii) a Web-based system to provide telecare assistance. lares has been tried in two dependent elderly home environments during several weeks, and the experiments show that is able to detect anomalies and generate alarms in abnormal situations. |
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| Keywords: | Autonomous control Robotics Elderly monitoring Wireless Sensor Networks Emergency detection |
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