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
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.

RFI Detector

Jamie Brunskill, Tyler Shaw, Kyle Stevens

RFI Detector

Featured Project

Problem Statement:

Radio frequency interference from cell phones disrupts measurements at the radio observatory in Arecibo, Puerto Rico. Many visitors do not comply when asked to turn their phones off or put them in airplane mode.

Description:

We are planning to design a handheld device that will be able to detect radio frequency interference from cell phones from approximately one meter away. This will allow someone to determine if a phone has been turned off or is in airplane mode.

The device will feature an RF front end consisting of antennas, filters, and matching networks. Multiple receiver chains may be used for different bands if necessary. They will feed into a detection circuit that will determine if the power within a given band is above a certain threshold. This information will be sent to a microcontroller that will provide visual/audible user feedback.

Project Videos