Project

# Title Team Members TA Documents Sponsor
28 Establishing an Intelligent Square Stepping Exercise System for Cognitive-Motor Rehabilitation in Older Adults with Multiple Sclerosis (Pitched Project)
 Hank Zhou
Junmin Liu
 Jason Jung design_document1.pdf
design_document2.pdf
proposal3.pdf
proposal4.pdf
proposal1.pdf
proposal2.pdf
**Problem**

Persons with multiple sclerosis (MS) may experience declines in balance, mobility, strength, sensory, cognitive and mental health function. Despite benefits, exercise participation remains low in persons with MS due to personal, environmental and societal barriers. Even though nowadays there are various devices for health people to monitor and log their exercises, these devices may not be very suitable for people with MS. Therefore, there's a need to develop a system which specifically facilitates people with MS to do more physical exercise safely.

**Solution**

Our project aims to develop an intelligent home exercise system so that people with MS can exercise safely at home, and this helps to rehabilitate their motor cognitive abilities. This system consists of a smart mat which can monitor users’ activities when they step on it, and will synchronize the data to wireless devices such as smartphones and laptops. In this way, this system can evaluate the condition of the user, and alert medical facilities if they detect the user's fall or other anomalies.

**Solution Subsystems**

**Hardware**
- A smart mat with pressure sensor arrays and light emitting diodes (LEDs) for providing feedback on stepping pattern.
- Analog-to-digital converters
- A microprocessor to process sensors’ output
- Device to transmit/store data

**Software**
- Data collection and integration
- The software will gather data from the pressure sensors on the smart mat and convert it into useful information regarding the user’s balance, weight distribution, and movement patterns.
- A wireless transmission protocol (e.g., Bluetooth, Wi-Fi) will synchronize the data to a connected device (smartphone, laptop, etc.).
- User interface
- A mobile or desktop application will be developed to display the user’s exercise progress, balance, and movement patterns.
- It will include user-friendly visualizations of data in real time, such as balance graphs, step analysis, and fall risk assessments.
- Health monitoring and alerts
- The system will analyze the user's movements and flag any anomalies such as instability or unusual gait patterns.
- If the software detects a fall or abnormal movement, it will immediately notify the user’s medical team via a pre-set communication method (SMS, email, or app notification).
- Data storage and analysis
- The software will store the data securely for long-term analysis, allowing medical professionals to track the user’s progress over time.

**Criterion for Success**

For the project to be successful, the following criteria must be met:

1. Smart Mat Performance: The smart mat must accurately detect and track user movement (e.g., weight distribution, balance shifts). The pressure sensors should be responsive and capable of detecting subtle changes in foot placement and weight.

2. Real-time Data Synchronization: The system should reliably transmit data to connected devices with minimal latency, ensuring that real-time feedback is provided to users. The data should be synced wirelessly to a smartphone or laptop for easy access.

3. Ease of Use: The system must be easy to set up, with minimal technical expertise required for users to begin exercising safely at home.

4. Robustness: The system must be able to keep intact and function properly under frequent use.

BusPlan

Aashish Kapur, Connor Lake, Scott Liu

BusPlan

Featured Project

# People

Scott Liu - sliu125

Connor Lake - crlake2

Aashish Kapur - askapur2

# Problem

Buses are scheduled inefficiently. Traditionally buses are scheduled in 10-30 minute intervals with no regard the the actual load of people at any given stop at a given time. This results in some buses being packed, and others empty.

# Solution Overview

Introducing the _BusPlan_: A network of smart detectors that actively survey the amount of people waiting at a bus stop to determine the ideal amount of buses at any given time and location.

To technically achieve this, the device will use a wifi chip to listen for probe requests from nearby wifi-devices (we assume to be closely correlated with the number of people). It will use a radio chip to mesh network with other nearby devices at other bus stops. For power the device will use a solar cell and Li-Ion battery.

With the existing mesh network, we also are considering hosting wifi at each deployed location. This might include media, advertisements, localized wifi (restricted to bus stops), weather forecasts, and much more.

# Solution Components

## Wifi Chip

- esp8266 to wake periodically and listen for wifi probe requests.

## Radio chip

- NRF24L01 chip to connect to nearby devices and send/receive data.

## Microcontroller

- Microcontroller (Atmel atmega328) to control the RF chip and the wifi chip. It also manages the caching and sending of data. After further research we may not need this microcontroller. We will attempt to use just the ens86606 chip and if we cannot successfully use the SPI interface, we will use the atmega as a middleman.

## Power Subsystem

- Solar panel that will convert solar power to electrical power

- Power regulator chip in charge of taking the power from the solar panel and charging a small battery with it

- Small Li-Ion battery to act as a buffer for shady moments and rainy days

## Software and Server

- Backend api to receive and store data in mongodb or mysql database

- Data visualization frontend

- Machine learning predictions (using LSTM model)

# Criteria for Success

- Successfully collect an accurate measurement of number of people at bus stops

- Use data to determine optimized bus deployment schedules.

- Use data to provide useful visualizations.

# Ethics and Safety

It is important to take into consideration the privacy aspect of users when collecting unique device tokens. We will make sure to follow the existing ethics guidelines established by IEEE and ACM.

There are several potential issues that might arise under very specific conditions: High temperature and harsh environment factors may make the Li-Ion batteries explode. Rainy or moist environments may lead to short-circuiting of the device.

We plan to address all these issues upon our project proposal.

# Competitors

https://www.accuware.com/products/locate-wifi-devices/

Accuware currently has a device that helps locate wifi devices. However our devices will be tailored for bus stops and the data will be formatted in a the most productive ways from the perspective of bus companies.