Abstract
Gait analysis using the Internet of Things (IoT) is an important medical diagnostic process and has many applications in rehabilitation, therapy and exercise training. We have designed and implemented an IoT model for gain detection in stroke or walking disability persons with a wireless communication module and the smartphone or personal computer to discreetly monitor insole pressure of the patient’s motion. The objective of this study is to present a multisensory system that explores walking patterns to predict a cautious gait in the stroke patient. This portable sensing system serves as a walking aid for rehabilitation training or permanent use in a wide range of gait disabilities. The proposed system can notify the user about their abnormal gait and possibly save the analyzed data of the gait variations in the cloud.
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Block Diagram
Specifications
Learning Outcomes
- Understanding Arduino architecture and pin diagram
- Installation and setup of Arduino IDE
- Programming and interfacing Arduino with sensors
- Interfacing DHT11 Sensor
- Working of B.P Sensor
- Interfacing LCD with Arduino
- Implementing GSM-based alert systems
- Understanding transformer protection and monitoring techniques
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software’s, Tools, Hardware components, etc.,)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the Project and Output testing
- Practical exposure to:
- Hardware and software tools.
- Solution providing for real time problems.
- Working with team/ individual.
- Work on Creative ideas.
- Project development Skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginary skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
