A Wearable device for Detecting sudden gait changes

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A Wearable device for Detecting sudden gait changes

Components Used

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  • Bluetooth Module HC-05

    Bluetooth is a wireless communication protocol used to communicate over short distances. It is used for low power, low cost wireless data transmission applications over 2.4 – 2.485 GHz (unlicensed) frequency band.

    713-113020008

  • MPU6050 Gyroscope and Accelerometer

    MPU6050 (Gyroscope + Accelerometer + Temperature) is a combination of 3-axis Gyroscope, 3-axis Accelerometer and Temperature sensor with on-chip Digital Motion Processor (DMP). It is used in mobile devices, motion enabled games, 3D mice, Gesture (motion command) technology etc

    410-MPU-6050

  • ESP32 DevKitC 32E

    ESP32 DevKitC 32E

    356-ESP32-DEVKITC32E

  • 3.7V Lithium Polymer Battery

    Battery Packs Li-Polymer Battery 3.7V 2000mAh

    932-MIKROE-1120

  • The system was designed and developed using an ARM Cortex M3 core ultra-low power microcontroller with Bluetooth ver 2.0, an MPU 6050 3-axis accelerometer and a 3.74V Lithium polymer (LiPo) battery with voltage regulator for power supply. 
     
  • The accelerometer has a mass in the sensor that has finger-like protrusions. During a movement, the distance between these protrusions changes, which also changes the capacitance between the protrusions. 
     
  • This changing capacitance is measured, converted to a signal, and calibrated to a specific acceleration or force. The sensor has a pair of three 16-bit ADCs for digitizing the output. The sensor has a minimum full-scale range of +/-2g and a maximum full-scale range of +/-16g.
     
  • The sensed data is transmitted via UART from the microcontroller to the Bluetooth module HC-05 V2.0. 
     
  • This module is further paired to a smartphone, where all the computation is performed through a mobile application. Below shown is the diagram of the components of the box. 

This box will be worn on the calf muscles (as shown in the figure), and the data will be collected per the movements. 

Below is the video of the use of sensors and raw data collected.

https://drive.google.com/file/d/1R6YzOPZcQm34cROYJY8Eg0B1JtoHaIs3/view?usp=sharing

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