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LCO–EGC: levy chaotic optimization-based enhanced graph convolutional network for monitoring health of sports athletes

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Abstract

In this modern world, healthcare monitoring is essential to save human lives. The Internet of Things (IoT) plays a vital role in the monitoring of healthcare and also in improving healthcare diagnostics. The IoT is utilized to manage patients’ information as well as to detect diseases early. Thus, we proposed Levy Chaotic Optimization-based Enhanced Graph Convolutional (LCO–ECG) Network for health monitoring in sports athletic. The Hyperparameter of enhanced graphical convolutional neural network is optimized using Levy Chaotic gravitational search algorithm (LCGSA). Also, using LCGSA, the weights are tuned to enhance the efficiency of the resulting ensemble model. The ECG model is applied to get more significant feature information. An action detection system’s accuracy will increase as a result. Here, to validate the proposed method we utilized two datasets including Kinematic gait data using a Microsoft Kinect v2 sensor during gait sequences over a treadmill and Comprehensive Kinetic and EMG datasets. Also, accuracy, precision, recall, F1-score, and AUC are the performance metrics utilized to evaluate classification performance more effectively. The proposed method attained the measures of 95.32%, 94.25%, 95.41%, and 95.97%.

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The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, R.M.K. College of Engineering and Technology, Thiruvallur, Tamil Nadu, India

    N. R. Rejin Paul

  2. Department of Computer Science & Engineering, Madanapalle Institute of Technology & Science, Madanapalle, Andhra Pradesh, India

    G. Arunkumar

  3. Department of Electronics and Communication Engineering, GLA University, Mathura, Uttar Pradesh, India

    Abhay Chaturvedi

  4. Department of Computer Science & Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, 248002, India

    Upendra Singh

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  1. N. R. Rejin Paul
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Correspondence to N. R. Rejin Paul.

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Paul, N.R.R., Arunkumar, G., Chaturvedi, A. et al. LCO–EGC: levy chaotic optimization-based enhanced graph convolutional network for monitoring health of sports athletes. Wireless Netw 30, 1401–1422 (2024). https://doi.org/10.1007/s11276-023-03574-4

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