Project

# Title Team Members TA Documents Sponsor
82 Real-Time Form Correction Device
 Bhanu Kunam
Ishank Pujari
Sree Akkina
 Po-Jen Ko design_document1.pdf
final_paper1.pdf
presentation1.pdf
proposal1.pdf
video
Team Members:
- Bhanuprakash Kunam (bkunam2)
- Sree Akkina (sakkina2)
- Ishank Pujari (ipuja2)

# Problem

Free weight exercises (dumbbells/barbells) require intense focus, and users often cannot safely look at visual displays while performing complex movements. Additionally, beginners frequently suffer from poor form - such as wobbling or using momentum rather than muscle control - which is difficult to self-diagnose without a personal trainer.

# Solution

This project proposes the “Smart-Clip,” an IoT attachment for barbells and free weights that utilizes auditory feedback to correct form in real-time. The system aims to use an ESP32 microcontroller and a 6-axis IMU to analyze the lift’s stability and trajectory. A piezoelectric buzzer provides sound cues: a “clean” tone confirms a stable, good-form repetition, while a dissonant alert signals excessive wobble or dangerous acceleration. This allows the user to maintain safe positioning while receiving instant coaching on their technique. All form data is logged to an app via Bluetooth for post-workout analysis.

# Solution Components

## Data Acquisition (Sensing)

The physical clip attaches securely to the dumbbell handle. Inside, a 6-axis Inertial Measurement Unit (IMU) continuously monitors the weight’s movement in 3D space. The Accelerometer measures the velocity of the lift (is the user moving too fast/jerking the weight?). The Gyroscope measures rotational stability (is the user’s wrist wobbling or tilting effectively?)

## On-Device Processing

The ESP32 microcontroller acts as the central processing unit. Instead of sending raw, noisy data to the phone, the ESP32 performs Edge Computing. Noise Filtering applies a smoothing filter to ignore small hand tremors. The Form Analysis Algorithm compares the motion vector against a “Gold Standard” vertical path. If the vector deviates sideways (wobble) or accelerates beyond a safety threshold (momentum), the system flags the repetition as “Poor Form.”

## Feedback Generation (The Interface)

The system employs a dual-loop feedback mechanism to provide both real-time coaching and long-term analytics. For immediate, a passive piezoelectric buzzer emits distinct auditory cues: a sharp, high-pitched beep confirms a valid repetition with proper form, whereas a low, dissonant buzz alerts the user to instability or dangerous acceleration. In parallel, the device utilizes Bluetooth Low Energy (BLE) to transmit detailed performance metrics, such as total count, lift tempo, and stability scores, to a companion mobile application, allowing users to review their workout history and track progress over time.

## App

The companion mobile application serves as the centralized hub for workout analytics, receiving data from the Smart-Clip via Bluetooth Low Energy (BLE). It records all session metrics, including repetition counts, tempo, and stability scores, locally on the device, allowing users to track and analyze their long-term progress through historical graphs and trend reports. Beyond data storage, the app acts as a control interface, enabling users to customize the clip’s sensitivity thresholds and audio feedback settings to match their specific training regimen.

# Criterion For Success

1. Repetition Accuracy: Counts bicep curls with = 90% accuracy; detects > 15 degrees wobble in >= 9/10 trials with no false alerts on clean reps.

3. Feedback Latency: Audio feedback occurs within 200 ms of IMU-detected rep completion.

4. Bluetooth Integrity: 100% of completed sets transmit correctly to the app within a 2 m range.

5. Mechanical Stability: Clip rotates less than 10 degrees on the handle during a 10-rep set.

6. Power Efficiency: Operates for at least 1 hour with average current draw under 100 mA.

Smart Frisbee

Ryan Moser, Blake Yerkes, James Younce

Smart Frisbee

Featured Project

The idea of this project would be to improve upon the 395 project ‘Smart Frisbee’ done by a group that included James Younce. The improvements would be to create a wristband with low power / short range RF capabilities that would be able to transmit a user ID to the frisbee, allowing the frisbee to know what player is holding it. Furthermore, the PCB from the 395 course would be used as a point of reference, but significantly redesigned in order to introduce the transceiver, a high accuracy GPS module, and any other parts that could be modified to decrease power consumption. The frisbee’s current sensors are a GPS module, and an MPU 6050, which houses an accelerometer and gyroscope.

The software of the system on the frisbee would be redesigned and optimized to record various statistics as well as improve gameplay tracking features for teams and individual players. These statistics could be player specific events such as the number of throws, number of catches, longest throw, fastest throw, most goals, etc.

The new hardware would improve the frisbee’s ability to properly moderate gameplay and improve “housekeeping”, such as ensuring that an interception by the other team in the end zone would not be counted as a score. Further improvements would be seen on the software side, as the frisbee in it’s current iteration will score as long as the frisbee was thrown over the endzone, and the only way to eliminate false goals is to press a button within a 10 second window after the goal.