Project

# Title Team Members TA Documents Sponsor
47 Pitched Project (Professor Manuel Hernandez): Smart Cognitive-Motor Rehabilitation Mat for Remote Exercise Monitoring
 Adithya Balaji
Jashan Virdi
Scott Lopez
 Michael Gamota design_document1.pdf
final_paper1.pdf
grading_sheet1.pdf
presentation1.pptx
proposal1.pdf
video
Team Members:
- Adithya Balaji (abalaji5)
- Scott Lopez (slope22)
- Jashan Virdi (jvird2)

# Problem
Many older adults don’t have access to rehabilitation for Multiple Sclerosis compared to people of younger age groups. During the previous semester a group was able to create a prototype for a square stepping mat that provides useful feedback to a user in order to aid in rehabilitation; however, this prototype has some flaws that need to be addressed such as the (1) voltage from each square is interfering with others which reduces the accuracy of step detection and for (2) computers needing a USB connection for data transfer which reduces the portability of the mat.

# Solution
Our project proposes to enhance the existing rehabilitation mat by focusing on two key areas:
Optimizing and increasing step detection accuracy through improved sensor integration and signal processing.
Developing a wireless, low-power system for operation, using relevant communication protocols and energy-efficient components.
# Solution Components

## Sensing Subsystem
Pressure-sensitive sensors (e.g., Velostat-based) for detecting step position and timing.
The main work here will be to iterate on and develop signal conditioning circuitry for improved step detection accuracy. Additionally, an area of research will be to explore the usage of materials other than copper strips to prevent voltages from each square interfering with other squares.

## Microcontroller subsystem
Microcontroller (ESP32-S2-mini-1) to manage sensor data and process step events. This specific microprocessor is used because it has an integrated WiFi antenna for WiFi communications with mobile devices. The microprocessor enables real-time control of visual and auditory feedback for the user.

## Power Management subsystem
The power management subsystem will send and regulate power to the microcontroller and sensing subsystems, and the LEDs on the mat.

## Wireless Communication Subsystem
Integration of Wi-Fi or Bluetooth Low Energy (BLE) module for wireless data transmission.
Low-latency data transfer protocol for real-time communication. Currently, they have data transfer locally using LAN but using wired connections, which is why we will be introducing BLE to reduce wired connections and improve portability.

## Custom PCB
Custom PCB integrating the microcontroller, sensor interfaces, and power management circuits to ensure compact and reliable operation. The main focus here will be to accommodate the wireless module that will be implemented for this project.

# Criterion For Success
Achieve a step detection accuracy of at least 95% (larger than previous prototype aim of 90%), taking into account unexpected variances due to variations in step styles and uneven pressure applications on the mat
Wireless communication module with low latency for remote operation to eliminate the need for wired data transfer
Successful data processing and feedback delivery from the smart mat during cognitive-motor exercise routines

Digitizing the Restaurant with Network-Enabled Smart Tables

Andrew Chen, Eric Ong, Can Zhou

Featured Project

# Students

Andrew Chen - andrew6

Eric Ong - eong3

Can Zhou - czhou34

# Problem:

The restaurant industry relies on relatively archaic methods of management and customer service. Internal restaurant computer systems are limited and rely on staff members to monitor customer status. Restaurants lack contact-free transactions for clientele.

# Solution Overview:

Our solution to this problem is to develop a standalone LAN restaurant network system to manage customer status and occupancy for restaurants without the need for personnel to monitor it manually. Along with this, to accommodate for contact-free interactions, we propose a system for payment methods. To address customer preferences, we will provide height accommodation built into the table for different types of people.

# Solution Components:

[Self-adjusting Customer Height Accommodation] - The table will be held up with a linear actuator, thus allowing for the overall height to be adjustable. The table will adjust its height accordingly to the customers’ heights once they sit down. We plan to make the table adjust the table’s height by measuring the distance between the bottom of the table with the customer’s knees when they are sitting down using ultrasonic sensors.

[NFC Payment and Card Reader Payment] - The table will have NFC reader and magstripe reader for contactless delivery. The payment data will be sent to the centralized hub for processing and confirmation.

[Table Pressure Sensor] - The status of a table will be gauged based on the amount of weight on the physical table itself. An occupied (or even just an unoccupied and dirty table) will be marked as such since the weight of excess food, water, plates, and whatever else the customer may bring will be measured by this pressure sensor.

[Computer Mesh Network] - We plan to create a mesh network of raspberry pi’s to track the status of tables in a restaurant. This network will communicate via some form of wireless communication (Wi-FI, bluetooth, or Zigbee).

# Criterion for Success:

This project seeks to create a solution in which restaurants can minimize customer interaction with features that accommodate individual needs, such as the height of the table and payment methods. This project will be considered successful with a working prototype that includes features that may be included in an actual restaurant setting.

Project Videos