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Weather forecast support system implemented into robot partner for supporting elderly people using fuzzy logic

Julia Szeles, Naoyuki Kubota, Jinseok Woo

Year
2017
Citations
7

Abstract

This paper proposes a weather forecast system which has been implemented into a robot partner in order to support elderly people in their daily life. Using the current weather data, the weather condition, the wind speed and the temperature, the system provides different recommendation to the user by using Fuzzy logic. With the help of the system, the elderly people can organize their daily routine plans in a more convenient way by using the weather information which were received from the internet. The system advices the user to do activities related to the current weather condition. To decide the right recommendation pattern, we use Fuzzy logic to describe the rules. Depending on the current weather condition, temperature and the wind speed, the system is going to advice the user about what should he/she do. The discussed system is implemented into a robot partner but it can be also used as regular smartphone application too.

Keywords

Fuzzy logicComputer scienceRobotWeather forecastingDecision support systemWind speedThe InternetReal-time computingArtificial intelligenceSimulation

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