A Wearable-based Preventive Model To Promote Oral Health Through Personalized Notification

Wearable technology has great potential to develop human-centric healthcare applications. It reshapes our lifestyle by providing information related to physical activities, sleep monitoring, or heartbeat rhythms. In this paper, we present an innovative model for oral healthcare, which is prevention-focused to notify individuals about cleaning teeth activity. It is based on a wrist-worn accelerometer device and has two components—first, a computationally lightweight feature extractor—secondly, a robust feed-forward neural network to recognize the cleaning teeth activity. The model performance is measured using standard performance metric
$F_{1}$
- score (i.e., 98%), which shows the applicability in a real-life scenario. The trained model can reside inside the smartwatch as a wrist-worn wearable. It would generate personalized notifications if s/he skipped the toothbrush activity. Furthermore, it notifies the users to change the toothbrush after three months, reducing the cognitive burden. Clinical Relevance—This work help the individuals to maintain their oral health using smartwatches as a wearable device