Project

# Title Team Members TA Documents Sponsor
40 Glove based Wheelchair Navigation
 Anumay Mishra
Lakshya Lahoty
Tanvi Shah
 Jonathan Hoff design_document1.pdf
design_document2.pdf
final_paper1.pdf
proposal2.pdf
proposal1.pdf
**Group Members**:
Tanvi Shah(tanviss2), Lakshya Lahoty (llahoty2), Anumay Mishra(aam2)

**Title**:
Glove based Wheelchair Navigation

**Problem**:
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.

**Solution Overview**:
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.

**Solution Components**:
- 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.
(https://www.adafruit.com/product/1070?gclid=EAIaIQobChMI1Nfk9MG45wIVA77ACh3PRAzWEAQYASABEgJZ1_D_BwE)
- 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
- Motors
- 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.





Automatic Piano Tuner

Joseph Babbo, Colin Wallace, Riley Woodson

Automatic Piano Tuner

Featured Project

# Automatic Piano Tuner

Team Members:

- Colin Wallace (colinpw2)

- Riley Woodson (rileycw2)

- Joseph Babbo (jbabbo2)

# Problem

Piano tuning is a time-consuming and expensive process. An average piano tuning will cost in the $100 - $200 range and a piano will have to be retuned multiple times to maintain the correct pitch. Due to the strength required to alter the piano pegs it is also something that is difficult for the less physically able to accomplish.

# Solution

We hope to bring piano tuning to the masses by creating an easy to use product which will be able to automatically tune a piano by giving the key as input alongside playing the key to get the pitch differential and automatically turning the piano pegs until they reach the correct note.

# Solution Components

## Subsystem 1 - Motor Assembly

A standard tuning pin requires 8-14 nm of torque to successfully tune. We will thus need to create a motor assembly that is able to produce enough torque to rotate standard tuning pins.

## Subsystem 2 - Frequency Detector/Tuner

The device will use a microphone to gather audio measurements. Then a microprocessor processes the audio data to detect the pitch and determine the difference from the desired frequency. This can then generate instructions for the motor; direction to turn pegs and amount to turn it by.

## Subsystem 3 - User Interface/Display Panel

A small but intuitive display and button configuration can be used for this device. It will be required for the user to set the key being played using buttons on the device and reading the output of the display. As the device will tune by itself after hearing the tone, all that is required to display is the current key and octave. A couple of buttons will suffice to be able to cycle up and down keys and octaves.

## Subsystem 4 - Replaceable Battery/Power Supply

Every commercial product should use standard replaceable batteries, or provide a way for easy charging. As we want to develop a handheld device, so that the device doesn’t have to drag power wires into the piano, we will need a rechargeable battery pack.

# Criterion For Success

The aim of the Automatic Piano Tuner is to allow the user to automatically tune piano strings based on a key input alongside playing a note. We have several goals to help us meet this aim:

- Measure pitch accurately, test against known good pitches

- Motor generates enough torque to turn the pegs on a piano

- Tuner turns correctly depending on pitch

- Easy tuning of a piano by a single untrained person

Project Videos