IOTeeth: Intra-Oral Teeth Sensing System for Dental Occlusal Diseases Recognition

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• Paper (ACM Digital Library)

Abstract

IOTeeth is a cost-effective and automated intra-oral sensing system for continuous and fine-grained monitoring of occlusal diseases. It incorporates an intra-oral piezoelectric-based sensing array integrated into a dental retainer platform. The system monitors and analyzes teeth contact-induced vibration signals during oral activities to recognize the presence of occlusal diseases, focusing on biting and grinding activities from canines and front teeth. A deep learning model called Physio-aware Attention Network (PAN Net) is used for occlusal disease recognition.

Results

• F1 score of 0.97 for activity recognition with leave-one-out validation
• Average F1 score of 0.92 for dental disease recognition across different activities

Citation

Hu, Zhizhang, Amirmohammad Radmehr, Yue Zhang, Shijia Pan, and Phuc Nguyen. 2024. “IOTeeth: Intra-Oral Teeth Sensing System for Dental Occlusal Diseases Recognition.” Proc. ACM Interact. Mob. Wearable Ubiquittic Technol. 8 (1): Article 7. https://doi.org/10.1145/3643516.

@article{hu2024ioteeth,
  author = {Hu, Zhizhang and Radmehr, Amirmohammad and Zhang, Yue and Pan, Shijia and Nguyen, Phuc},
  title = {IOTeeth: Intra-Oral Teeth Sensing System for Dental Occlusal Diseases Recognition},
  journal = {Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},
  volume = {8},
  number = {1},
  articleno = {7},
  year = {2024},
  doi = {10.1145/3643516}
}