Real time Gait Analysis using multiple wearable sensors

Develop a multi-sensor Real-Time Data Acquisition system Project Objectives (le

Project Title

Real time Gait Analysis using multiple wearable sensors

Project Area of Specialization

Biomedical Engineering

Project Summary

Develop a multi-sensor Real-Time Data Acquisition system

Project Objectives

• To acquire multisensory data (EMG, Angles and Kinetic Data) from various anatomical positions.

• Should be Wearable, Portable, Low-cost and data must be Real-time

• Reliable and Reproducible (Statistical Analysis)

Project Implementation Method

The main goal of the project is to design a system that can acquire data from multiple sensors at the same time which is not possible with using 1 Single Core processor. To solve this issue, we propose to use 1 controller (Attiny 1604) for each sensor. 

The said controller will read data from the sensor, add a timestamp using the RTC and send the data to the wireless transmitter on board. 

The wireless transmits data to a Master controller, say a Raspberry Pi running Raspbian OS which will receive data from each Sensory Module and display the data over a GUI. 

There will be a minor lag between the data reading and displaying, but the data will be real-time and perfectly suitable for further research in Human-centered Robotics.

Benefits of the Project

Walking is something that the average person probably doesn’t give much thought. It’s our most basic method of transportation, but an inability to walk or be mobile can drastically change a person’s life. It can impact our independence and also create significant health problems in both the short and long term.

Many people can move about with abnormal or asymmetrical gait patterns for years without any symptoms. However, when someone experiences an injury or pain, normal gait can be altered, resulting in abnormal walking that can lead to bigger health issues.

For example:

• Musculoskeletal problems (from altering movements to compensate for pain or discomfort)
• Cardiovascular health issues (due to inactivity)
• Mental health issues (depression, loss of independence, etc.)

This is why gait analysis is important. When we study the way a person walks or runs, we can identify individuals’ unique movements, determine normal gait patterns, diagnose issues causing pain, and also implement and evaluate treatments to correct abnormalities.

For the development of Exoskeletons and Prosthetics, human Gait patterns are an absolutely necessary, and whole control system of these is dependent on the current dataset of a person, hence it absolutely crucial to have a reliable Real-Time data acquisition system for further development and commercializing the Prosthetic and Exoskeletons

Technical Details of Final Deliverable

• 4 IMU Sensor Modules weighing less than 100g each with a good battery life
• 2 IMU + EMG Sensor Modules weighing less than 100g each with a good battery life
• 2 FSR Modules with FSRs attached on the sole
• 1 receiver Module to collect the data and send to the PC
• Software for each module
• Collected and analyzed data

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

Medical

Core Technology

Wearables and Implantables

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com