Wearables in Long-Term Monitoring for Chronic Conditions: Learning ADLs for Elderly Care

In the ageing society, there is an increasing presence of chronic health conditions that can benefit from long-term monitoring technologies. Our proposed long-term care system aims to classify activities of daily living automatically and, in the future, to prevent secondary health conditions in institutionalised elderly individuals. We implemented a multimodal system comprising six commercial wearable and nearable sensors for tracking daily living functioning. In this work, we present pilot data from two residents of a Japanese elderly care facility. The results show the feasibility and acceptance of our multimodal sensory system. Data was successfully captured and stored while the wearables were well-accepted by the users for long-term monitoring. In conclusion, we argue that capturing activities of daily living from elderly individuals would enable future tracking of health changes, as has been demonstrated in specific digital health tracking in other conditions.