Abstract
Neck and back pain is one of the most common medical problems that are faced by 80% of individuals at some point in their lives. Bad posture decreases the flexibility of the joints making them prone to injuries. It can also lead to hyperkyphosis, an extremely hunched back. This leads to numerous visits to physicians and physiotherapists. These sessions are expensive, making affordability a major concern. In this paper, we propose and implement a cost-effective approach that proposes a device that detects bad posture and helps the user correct it using ATmega380 and Inertial Measurement Unit (IMU) which is equipped with various accelerometers and gyroscopes. Once the patient is familiar with using the device, he/she will be able to improve his/her posture and reduce muscle pain from home itself, eliminating costs arising from visits to physiotherapists and orthopaedists. Our proposed method will monitor the upper body movement alerting the user through vibrations in the device and notifications in an Android application. It will visually show the correct movements to go through day-to-day activities using animations. Also, it will provide pain relief exercises using Virtual Reality (VR) for improved posture and a healthier lifestyle.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Gleiber M, Conceirge Spibe surgery. Available: https://michaelgleibermd.com/news/heads-text-neck-ruin-posture/
Indian Express Article, Back pain ups risk of early death, Feb 2017
De Rossi D (2007) Wearable kinesthetic sensors for body posture and movement analysis. J Biomech 40(S2):S425–S427
Lumo lift posture activity and coach monitor. Available: https://www.lumobodytech.com/lumo-lift/
Upright. Smart wearable posture trainer. Available: https://www.uprightpose.com/
Capozzo JA, GonG J, Wen J (2017) “Health-care neckband” UIUC design review, senior design spring
ATMEL ATMega 380/P datasheet, Oct 2016. arduino nano
Arduino Nano (V2.3). User manual released under the creative commons attribution share-alike 2.5
Winer K (2016) Arduino sketch for MPU-9250 9DoF with AHRS sensor fusion [online]. Available: https://github.com/kriswiner/MPU-9250
Google bluetooth socket [Online]. Available: developer.android.com/reference/android/bluetooth/BluetoothSocket.html
Business Wire India (2017) Report on people with neck and back pain on world spine day
IMU-3000—SparkFun electronics (2010) [Online]
HC-05 bluetooth module (master/slave): rhydoLABZ India [Online]
Bartalesi R, Lorussi F, Tognetti A, Tesconi TM, Zupone G, Carbonaro, Smart vest for posture monitoring in rehabilitation exercises
Acknowledgements
The authors would like to thank Prof. Sanjay Deshmukh for his continuous guidance. We would also like to express our utmost gratitude to Dr. Anand Walawalkar for his efforts in helping us through our research in back and neck exercising techniques.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Acharya, A.S., Gandhi, P., Karkera, S., Ghagare, N., Deshmukh, S. (2019). Posture Monitoring and Back Pain Relief Using ATmega328, Android and Unity. In: Saini, H., Singh, R., Kumar, G., Rather, G., Santhi, K. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-13-3765-9_16
Download citation
DOI: https://doi.org/10.1007/978-981-13-3765-9_16
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-3764-2
Online ISBN: 978-981-13-3765-9
eBook Packages: EngineeringEngineering (R0)