Remote monitoring and activity tracking through Internet of Things (IoT) thermostat

ecobee是一家加拿大智能恒温器制造商，利用无线传感器（温度，存在，运动）根据房间占用情况调整房屋温度，从而节省能源。他们的技术用于通过设置舒适的温度来最大限度地减少用于加热和冷却的能源。然而，他们的技术目前提供有限的使用，以其他应用无关的领域（例如，健康和保健）。尽管如此，它在家庭远程监控需要监督的个人方面具有很大的潜力，前提是对其技术进行一些小的修改。这一新的合作关系将探索ecobee传感器数据的使用，以识别用户行为模式、社交孤立和移动限制，将ecobee的使用扩展到远程监控技术。通过设计一项结合活动跟踪器和ecobee数据的研究，我们旨在评估使用ecobee的远程传感器进行远程病人监护的技术要求和可行性。在这个项目中，我们将利用机器学习算法来检测与常见模式的偏差，以及新一代传感器的技术要求。

ecobee is a Canadian manufacturer of smart thermostats that leverages wireless sensors (temperature, presence,movement) to adjust the temperature in the house according to room occupancy and consequently save energy.Their technology is used to minimize energy spent for heating and cooling by setting the comfort temperatureto rooms that are in use. However, their technology currently provides limited use to other applications indifferent domains (e.g. the health and wellness). Nonetheless, it has great potential for home remote monitoringof individuals that need supervision, provided that a few small modifications are made in their technology. Thisnew partnership will explore the use of ecobee's sensor data to identify patterns in user behaviour, socialisolation, and mobility limitations, expanding the use of ecobee into remote monitoring technologies. Throughthe design of a study combining activity trackers with ecobee data, we aim at evaluating the technicalrequirements and the feasibility of using ecobee's remote sensors for remote patient monitoring. In this project,we will leverage machine learning algorithms to detect deviation from common patterns, in addition to thetechnical requirements for a new generation of sensors.