Hybrid <scp>AI</scp>‐Driven Bio‐Inspired Wearable Sensors With Aquasense <scp>AI</scp> Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments

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.

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Publication Details

Journal
Transactions on Emerging Telecommunications Technologies
Published
2025-02-28
DOI
https://doi.org/10.1002/ett.70081
Citations
10
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
8.17
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article

Hybrid AI‐Driven Bio‐Inspired Wearable Sensors With Aquasense AI Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments

J. Poongodi, R. Lakshmana Kumar, S. Sathish, K Kavitha
10 citations
Transactions on Emerging Telecommunications Technologies
Water Quality Monitoring Technologies
8.17
article

Hybrid AI‐Driven Bio‐Inspired Wearable Sensors With Aquasense AI Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments

J. Poongodi, R. Lakshmana Kumar, S. Sathish, K Kavitha
article en
10 citations

Abstract

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.

Transactions on Emerging Telecommunications TechnologiesVol. 36(3)
INTI International University (MY), PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH (IN)
Openalex Percentile: Top 3%
Water Quality Monitoring Technologies
8.17
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