An assessment of a sensor designed for monitoring energy expenditure, activity, and sleep was conducted in the context of\r\na research project which develops a weight management application. The overall goal of this project is to affect sustainable\r\nbehavioural change with respect to diet and exercise in order to improve health and wellbeing. This paper reports results of a\r\npretrial in which three volunteers wore the sensor for a total of 11 days. The aim was to gain experience with the sensor and\r\ndetermine if it would be suitable for incorporation into the ICT system developed by the project to be trialled later on a larger\r\npopulation. In this paper we focus mainly on activity monitoring and user experience. Data and results including visualizations and\r\nreports are presented and discussed. User experience proved positive inmost respects. Exercise levels and sleep patterns correspond\r\nto user logs relating to exercise sessions and sleep patterns. Issues raised relate to accuracy, one source of possible interference, the\r\ndesirability of enhancing the system with real-time data transmission, and analysis to enable real-time feedback. It is argued that\r\nautomatic activity classification is needed to properly analyse and interpret physical activity data captured by accelerometry.
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