This project aims to develop applications integrating 5G, AI, and sensor technologies to establish a high-affinity AIoT platform for healthy aging and wellness. The platform’s goal is to delay the onset of disability and dementia, promote healthy aging, and reduce the strain on long-term care medical resources and finances. Through interdisciplinary collaboration, innovative algorithms linking aging motion patterns with inertial measurement units (IMU) will be developed and applied on the AIoT platform for real-time cloud-based monitoring. This will create innovative, elder-friendly interactive service models.

The project outcomes are poised to penetrate the extensive IMU and AI smart healthcare markets, and foster professionals with cross-domain expertise in BioICT. The center collaborates with various teaching hospitals to develop a precision technology health care demonstration app. This app uses sensors to evaluate gait and limb movement, presenting test data through the app to provide individual trend records. It assists doctors in assessing walking, jumping, lifting, gripping, and bending, aiming for an ageless, inclusive well-being through self-perception.

The research team has long been dedicated to the development of motion sensing chips and remote sensing communication technologies. Using Taiwan-manufactured inertial measurement units (IMU), combined with a 5G platform, the team engages in real-time posture recognition through AI analysis and cloud service interface development. Collaborating with clinical medical experts, the project employs IMUs to measure precise motion parameters for continuous personal observation. It involves doctors from Chang Gung Memorial Hospital and Veterans General Hospital in diagnosing and evaluating episodic or degenerative motion disorders like Parkinson’s disease, epilepsy, spinal and neurological diseases, and stroke. The development of innovative algorithms relating aging motion patterns and degenerative diseases with IMUs, utilizing the AIoT platform, achieves real-time cloud-based monitoring and fosters elder-friendly interactive service models.

The team has developed two technological assessment systems, the “Parkinson’s Disease E-Assessment System” and the “Tianlong Babu,” providing objective evaluations for doctors, thereby implementing preventive medicine.