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 | proposal1.pdf |
|
| 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 |
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