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Classification of Walkers Based on Back Angle Measurements Using Wireless Sensor Node

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Sustainable Communication Networks and Application (ICSCN 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 39))

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Abstract

High end technology enabled devices are being used these days to perform classification and analysis of walking styles of athletes and patients for therapeutic applications. Hence it has become an encouraging step to carry out research in related domain. Various sports have significant health benefits which contribute to muscular, heart, and mental health. However, there is high risk of having injuries while playing outdoor sports and are very common in athletes. Relative excessive loading and impulsive impact on the muscle tissues causes almost all type of basic and severe injuries. To study the phenomenon of injury occurrence, avoidance, improvement in training techniques, and therapeutic applications, an open source electronic device has been fabricated using micro-controller and gy-521 sensor module. The designed system was used to study the effect of lower back movement of persons while walking and was able to classify subjects based on the lower back deviation angle. This result shall form the basis of designing customized training sessions suited for athletes to minimize injuries and suggesting of physiotherapy for patients with lower back pain. The designed system can be used as a reliable evaluation device for lower back analysis in various field environments without any constraints. The device could support injury management, performance enhancement, and rehabilitation of lower back pain patients.

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Acknowledgement

I would like to mention that a non-invasive wearable belt was designed and fabricated for the purpose of performing experiments. Because of the non-invasive nature of the belt no ethical committee was formed by the University but informed consent was taken from all participants before starting the experiment. However information with regards to participant’s confidentiality has been maintained and has not been promoted online or in any other form for any other purpose.

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Authors and Affiliations

  1. GD Goenka University, Gurgaon, Haryana, India

    Ramandeep Singh Chowdhary & Mainak Basu

Authors
  1. Ramandeep Singh Chowdhary
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  2. Mainak Basu
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Correspondence to Ramandeep Singh Chowdhary .

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Editors and Affiliations

  1. Surya Engineering College, Kathirampatti, Tamil Nadu, India

    P. Karrupusamy

  2. Department of Electrical Engineering, Da-Yeh University, Changhua, Taiwan

    Joy Chen

  3. Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

    Yong Shi

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Chowdhary, R.S., Basu, M. (2020). Classification of Walkers Based on Back Angle Measurements Using Wireless Sensor Node. In: Karrupusamy, P., Chen, J., Shi, Y. (eds) Sustainable Communication Networks and Application. ICSCN 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-030-34515-0_43

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