Dynamically Adapting the Environment for Elderly People Through Smartwatch-Based Mood Detection

Antonio Capodieci (), Pascal Budner (), Joscha Eirich (), Peter Gloor () and Luca Mainetti ()
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Antonio Capodieci: Università del Salento
Pascal Budner: University of Cologne
Joscha Eirich: University of Bamberg
Peter Gloor: MIT
Luca Mainetti: Università del Salento

A chapter in Collaborative Innovation Networks, 2018, pp 65-73 from Springer

Abstract: Abstract The ageing population and age-related diseases are some of the most urgent challenges in healthcare. This leads to an increasing demand in innovative solutions to afford a healthy and safe lifestyle to the elderly. Towards this goal, the City4Age project, funded by the Horizon 2020 Programme of the European Commission, focuses on IoT-based personal data capture, supporting smart cities to empower social/health services. This paper describes the combination of the smartwatch-based Happimeter with City4Age data capture technology. Through measuring the mood of the wearer of the smartwatch, a signal is transmitted to the Philips Hue platform, enabling mood-controlled lighting. Philips Hue allows the wireless remote control of energy-efficient LED light bulbs. Thus, measuring the mood through the Happimeter, the living environment for elderly people can be dynamically adapted. We anticipate that by changing colors and brightness of light bulbs using the Philips Hue platform, their quality of life can be improved. A validation test will be done in the context of the City4Age project, involving 31 elderly people living in a Southern Italian city.

Date: 2018
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DOI: 10.1007/978-3-319-74295-3_6

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