Pioneering Research and Innovation
Last updated
Last updated
Our co-founder’s research in blockchain, IoT, computer vision, deep learning, human recognition, and health monitoring forms the foundation of ChainHealth, enabling advanced solutions like posture detection and fatigue monitoring. These innovations power AI-driven insights, enhancing personalized health management and data integration.
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Explores gamification's impact on rehabilitation, mental health, and chronic disease management, highlighting patient engagement, adherence benefits, and future research opportunities.
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Combines deep convolutional neural networks with SVMs for precise, efficient posture detection in healthcare systems.
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Analyzes blockchain integration for addressing IoT vulnerabilities, featuring decentralized control, smart contracts, and use cases across industries.
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Introduces a biofeedback-driven model using deep learning to optimize user performance and fatigue monitoring for gaze-controlled interfaces.
Proposes a hybrid neural model for reconstructing 3D objects from imperfect data, achieving 8.53% improved accuracy.
Develops a CNN-based framework for real-time human behavior analysis, enhancing applications in security, healthcare, and HCI.
Utilizes a hierarchical model to accurately classify sitting postures, achieving 91.47% accuracy, ideal for healthcare ergonomics and rehabilitation.
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