Hybrid AI-Driven Bio-Inspired Wearable Sensors With Aquasense AI Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments
J. Poongodi, K. Kavitha, S. Sathish, R. Lakshmana Kumar
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引用次数: 0
Abstract
AquaSense AI is a bio-inspired, wearable sensor system that enables a paradigmatic shift in healthcare and physiotherapy, emulating nature's sensory capabilities of aquatic animals. Flexible, waterproof sensors are used to detect human motion, balance, and posture on land and in water. AquaSense AI is perfect for application in swimming pools and hydrotherapy sessions. AquaSense AI delivers real-time, high-precision feedback to enable effective rehabilitation, fall prevention, and fitness monitoring. In Under water, these sensors follow a person's posture and the coordination of their limbs through the detection of pressure changes, while on land, they monitor gait, posture, and balance. The sophisticated AI algorithms within the system, including Hierarchical Adaptive Neural Network (HANN) and Multimodal Self-Learning Framework, adjust sensor sensitivity to the environment and provide personalized feedback over time, continuously adapting to the movements and rehabilitation progress of the user. The bio-inspired design, adaptive AI, and real-time predictive analytics can provide dual functionality at clinical and fitness applications, improving safety, rehabilitation outcomes, and general health monitoring in diverse environments.
期刊介绍:
ransactions on Emerging Telecommunications Technologies (ETT), formerly known as European Transactions on Telecommunications (ETT), has the following aims:
- to attract cutting-edge publications from leading researchers and research groups around the world
- to become a highly cited source of timely research findings in emerging fields of telecommunications
- to limit revision and publication cycles to a few months and thus significantly increase attractiveness to publish
- to become the leading journal for publishing the latest developments in telecommunications