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Experience with Using the Sensewear BMS Sensor System in the Context of a Health and Wellbeing Application

机译:在健康和福祉应用中使用Sensewear BMS传感器系统的经验

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摘要

An assessment of a sensor designed for monitoring energy expenditure, activity, and sleep was conducted in the context of a research project which develops a weight management application. The overall goal of this project is to affect sustainable behavioural change with respect to diet and exercise in order to improve health and wellbeing. This paper reports results of a pretrial in which three volunteers wore the sensor for a total of 11 days. The aim was to gain experience with the sensor and determine if it would be suitable for incorporation into the ICT system developed by the project to be trialled later on a larger population. In this paper we focus mainly on activity monitoring and user experience. Data and results including visualizations and reports are presented and discussed. User experience proved positive in most respects. Exercise levels and sleep patterns correspond to user logs relating to exercise sessions and sleep patterns. Issues raised relate to accuracy, one source of possible interference, the desirability of enhancing the system with real-time data transmission, and analysis to enable real-time feedback. It is argued that automatic activity classification is needed to properly analyse and interpret physical activity data captured by accelerometry.
机译:在开发体重管理应用程序的研究项目中,对旨在监测能量消耗,活动和睡眠的传感器进行了评估。该项目的总体目标是影响饮食和运动方面的可持续行为改变,以改善健康状况。本文报告了一项预审的结果,其中三名志愿者总共佩戴了传感器11天。目的是获得传感器的经验,并确定该传感器是否适合纳入该项目开发的ICT系统中,稍后再在更大的人群中试用。在本文中,我们主要关注活动监控和用户体验。介绍和讨论了包括可视化和报告在内的数据和结果。用户体验在大多数方面都被证明是积极的。运动水平和睡眠模式对应于与运动会话和睡眠模式有关的用户日志。提出的问题涉及准确性,可能的干扰源,通过实时数据传输增强系统的可取性以及进行实时反馈的分析。有人认为,需要自动进行活动分类,以正确分析和解释通过加速度计捕获的身体活动数据。

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