Objective: The NEX project has developed an integrated Internet of Things (IoT) system coupled with data analytics to offer unobtrusive health and wellness monitoring supporting older adults living independently at home. Monitoring {currently} involves visualising a set of automatically detected activities of daily living (ADLs) for each participant. The detection of ADLs is achieved {} to allow the incorporation of additional participants whose ADLs are detected without re-training the system. Methods: Following an extensive User Needs and Requirements study involving 426 participants, a pilot trial and a friendly trial of the deployment, an Action Research Cycle (ARC) trial was completed. This involved 23 participants over a 10-week period each with c.20 IoT sensors in their homes. During the ARC trial, participants each took part in two data-informed briefings which presented visualisations of their own in-home activities. The briefings also gathered training data on the accuracy of detected activities. Association rule mining was then used on the combination of data from sensors and participant feedback to improve the automatic detection of ADLs. Results: Association rule mining was used to detect a range of ADLs for each participant independently of others and was then used to detect ADLs across participants using a single set of rules {for each ADL}. This allows additional participants to be added without the necessity of them providing training data. Conclusions: Additional participants can be added to the NEX system without the necessity to re-train the system for automatic detection of the set of their activities of daily living.

翻译：目标：NEX项目开发了一套集成物联网系统与数据分析技术，旨在为居家独立生活的老年人提供非侵入式健康与福祉监测支持。当前监测通过为每位参与者可视化一组自动检测的日常生活活动（ADLs）来实现。ADLs的检测需支持在不重新训练系统的情况下纳入新参与者。方法：基于一项涉及426名参与者的广泛用户需求研究、先导试验及友好试验部署后，完成了行动研究循环试验。该试验涉及23名参与者，为期10周，每位参与者家中部署约20个物联网传感器。试验期间，每位参与者参与两次数据知情简报会，会议展示其居家活动的可视化图表，同时收集参与者对检测活动准确性的训练数据。随后采用关联规则挖掘结合传感器数据与参与者反馈来优化ADLs自动检测。结果：关联规则挖掘被用于为每位参与者独立检测一系列ADLs，随后通过单组规则针对每个ADL跨参与者检测ADLs。这使得新参与者无需提供训练数据即可被纳入系统。结论：新参与者可被添加至NEX系统，无需重新训练系统以自动检测其日常生活活动集。