Biomedical · Rehabilitation & Assistive Devices
Smart Crutch with Fall Detection
Intermediate 5 weeks 35-50 hours
Build instrumented crutch with accelerometers detecting fall risk. Provide alert to user and caregiver. Log walking patterns and detect deterioration.
Major
Biomedical
Focus area
Rehabilitation & Assistive Devices
Total hours
35-50 hours
What you'll need
- ESP32 WROOM-32 WiFi Bluetooth development board
- MPU6050 6-axis accelerometer gyroscope sensor module
- HC-05 Bluetooth wireless module for Arduino
- active buzzer and LED assortment kit for Arduino
- microSD card data logging module for Arduino
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Steps
- Mount the ESP32 and MPU6050 securely on the crutch.
- Log normal walking data to learn what regular motion looks like.
- Program fall detection that triggers on sudden impact followed by no movement.
- Add a buzzer and LED alert plus a Bluetooth alert to a phone.
- Test with safe simulated falls and measure how often it detects them and how often it false-alarms.
- Document the detection accuracy and build for your portfolio.
What to photograph for your portfolio
- Crutch with sensors mounted
- fall detection algorithm demo
- alert notification
- walking pattern analysis
Resume bullet starters
Copy one, then swap in your own numbers.
Designed and built a smart crutch with fall detection using Fall detection algorithms, IMU integration, IoT alerts
Applied Arduino and wearable systems to implement, test, and validate the system end-to-end
Quantified performance with [insert your result, such as accuracy, error reduction, response time, or load capacity] after iterative tuning
Skills you'll show off
Fall detection algorithmsIMU integrationIoT alertsArduinowearable systems