LARES: An AI-based teleassistance system for emergency home monitoring
| Autor: | Daniel Vaquerizo-Hdez, María D. R-Moreno, Pablo Muñoz, David F. Barrero, Fernando Ropero |
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| Rok vydání: | 2019 |
| Předmět: |
Population ageing
Computer science business.industry Cognitive Neuroscience Telecare Applied psychology Experimental and Cognitive Psychology 02 engineering and technology Autonomous robot Social burden Task (project management) 03 medical and health sciences 0302 clinical medicine Artificial Intelligence Health care 0202 electrical engineering electronic engineering information engineering Life expectancy 020201 artificial intelligence & image processing business 030217 neurology & neurosurgery Software |
| Zdroj: | Cognitive Systems Research. 56:213-222 |
| ISSN: | 1389-0417 |
| DOI: | 10.1016/j.cogsys.2019.03.019 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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