ACCESSIBILITY — WEARABLE TECH
ASL Translation Glove
A sensor-instrumented glove that recognizes American Sign Language gestures and translates them in real time — technology in service of communication.
Flex SensorsIMUMachine LearningEmbeddedWearables
◈ HERO PHOTO: glove on hand mid-gesture (very visual — use your best shot)
## Problem
Millions of people communicate through sign language, yet most of the hearing world can't understand it. That communication gap creates daily friction in classrooms, workplaces, and public life.
## Solution
A wearable glove that captures hand pose and motion through embedded sensors, classifies ASL gestures with machine learning, and outputs translations in real time.
## Demo
◈ VIDEO: live gesture → translation demo (embed here)
## Features
- Finger-flex and hand-motion sensing
- Real-time gesture classification
- Wireless, wearable form factor
## Tech Stack
Arduino / MCUFlex SensorsIMUPythonML Classification
## Challenges
- Distinguishing similar gestures from noisy sensor data
- Fitting inference and sensing into a comfortable wearable
## Lessons Learned
- TODO: what you learned building it
## Gallery
◈ PHOTO: glove build / wiring
◈ PHOTO: sensor close-up
◈ SCREENSHOT: classification output