Wearable Device · Motion Tracking · Embedded Systems

VeloS Band

A wearable motion-tracking device designed to calculate and display the speed of a user’s arm during a swing.

Status Prototype

Collaborative embedded systems project focused on wearable swing-speed tracking.

Device Demo

VeloS Band Demo

Project Summary

Project Overview

Purpose

VeloS Band was built to provide a simple wearable way to estimate swing speed from arm motion and display the result directly to the user.

Problem

Measuring swing speed usually requires external sensors, cameras, or dedicated training tools. This project explored a compact wearable alternative.

Approach

The device uses embedded hardware and motion-sensing logic to detect swing movement, process the motion data, and present a readable speed result.

System Features

Core System Ideas

Hardware01

Wearable Form Factor

  • Designed around a wrist-worn device concept
  • Focused on portability and quick use during motion
  • Built for direct user feedback without needing an external display
Sensing02

Motion Detection

  • Tracks arm movement during a swing
  • Uses motion samples over time instead of a single instant reading
  • Supports swing-speed estimation from changing motion data
Logic03

Speed Calculation

  • Processes sensor data into a speed estimate
  • Focuses on identifying the meaningful part of the swing
  • Displays a final speed value to the user
Interface04

Embedded Interface

  • Uses onboard controls for recording and interaction
  • Displays device states and results
  • Supports a simple calibration and recording workflow
Device Workflow

Device Workflow

Calibrate01

The device establishes a starting reference before recording motion.

Record Swing02

The system captures motion data during the forward swing movement.

Process Data03

Motion samples are interpreted to estimate the user’s arm speed.

Display Result04

The final speed result is shown directly on the wearable device.

Team

Collaborators

A collaborative project made by Marco Gallardo, Kevin Lewis, Andy Liu, and Blas Arras.

Tech Focus

Technical Focus

Embedded SystemsWearable HardwareMotion SensorsSensor SamplingCalibration LogicSpeed EstimationOLED DisplayMicrocontroller ProgrammingPhysical Computing
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