Bad seating posture or extra stress on the spine has been shown to lead to a variety of spinal disorders including chronic back pain, and has led to a spike in healthcare expenditure. Constant use of computers is one of the major risk factors for neck and shoulder disorders.
Reports of the lifetime occurrence of neck pain in the general population range from 67-80%. Thus there is a requirement for a comfortable wearable posture monitoring and correction system. Due to the progress and advancement in the mobile phone industry an Accelerometer sensors have become extremely accurate and capable of detecting forces of unto ±16 g with a 13 bit resolution.They have also become very low cost and come in extremely small sizes making it suitable to wear. Recent studies have showcased the power of habit correction using vibration as a mode classical conditioning (Ivan Pavlov’s Dog experiment). The proposed system would be a wearable clip which is harnessed using a soft cable over a shirt near the sternum region of the back. The system would comprise of an accelerometer (ADXL345), Low power micro-controller (ATmega328-3.3V), A mobile phone vibration motor, 400mAh 3.6V Lithium polymer battery, Bluetooth 4.0 communication module. As soon as the device is worn, the accelerometer provides the X, Y, Z coordinates with reference to origin. The angle of inclination with respect to origin is found by using simple Cartesian formulae using the X axis,If the angle falls below a certain threshold value a PWM signal is provided to the vibration motor in first a soft vibration setting. If the user spends excess time in the same posture a stronger vibration is provided. The vibration can be turned off if the user is annoyed. The Y and Z axis coordinates are used to evaluate walking postures and provide better suggestions for the same. For patients with Spinal chord trauma sensitive forces on the spine can be measured and logged while visiting a doctor. The accelerometer data is sent to a mobile phone via Bluetooth 4.0 which is ultra low power in nature. The data can help provide better insights into a person’s posture and wellness.
-Vignesh Ravi, Varun.S, Naveen Balakumar, Saranga Nivas, K.S Yashwanth (II-B)