|40||Glove based Wheelchair Navigation
Tanvi Shah(tanviss2), Lakshya Lahoty (llahoty2), Anumay Mishra(aam2)
Glove based Wheelchair Navigation
Individuals with disabilities like paralysis or cerebral palsy find it hard to navigate a wheelchair using a joystick on the arm of the chair, considering limited hand control and movement. This is the inspiration to create a pair of gloves which can facilitate the manoeuvring of the wheelchair with limited arm movement.
The device (i.e. pair of gloves) would consist of two hand gloves; one with flex sensors to control the acceleration and speed of the motors. This is not accounting for the direction. We utilize a ball tilt sensor or an accelerometer in order to allow the user to accurately control the direction of the wheelchair, forward, back, left and right. The data from the sensors is fed into a microcontroller (we are using Arduino) which transmits the information of motion and acceleration/deceleration to the motors (the glove is wired to the chair). We will have one PCB that will encompass the data from the two sensors and relay the information to the motors. We will implement certain bandwidth filters that won't allow faulty data, essentially a threshold to make sure readings are appropriate. There will also be an emergency fail-safe switch that decelerates and stops the wheelchair if needed.
- 5 flex sensors for each finger of the left hand: the idea is to use the data and pressure from the folding of the hand to quantify the speed of the motors in the chair.
- Ball tilt sensor or ADXL345 Accelerometer for the second glove to detect the direction of the motion.
- Microcontroller - Arduino will be used to get feedback from the sensors in the gloves and control the speed and direction of the motors of the wheelchair accordingly
- Batteries, rechargeable and powerful enough to last hours
- Push-Button switch which we use to incorporate the emergency fail-safe to decelerate and stop the motors quickly
- Motorized toy car/wheel for the wheelchair simulation
**Criterion for Success**:
- Successfully be able to control speeds using clenching of the glove
- Successfully be able to navigate the wheelchair by tilting the hand in the desired direction
- Have a fail-safe mechanism to be able to detect harmful speeds and react appropriately to emergency situations
- Be able to filter out the faulty data such that the values remain inbound that are acceptable.