AIoT - Glove
Administrator / AIoT Explorers / 11 August 2025

    Glove Sign is a portable prototype that translates one-hand gestures into characters/messages to support communication for people with speech impairments. The system uses a stretchable glove with five 2.2" bend sensors (one per finger), an on-board IMU (accelerometer + gyroscope) on Arduino Portenta, portable power, and an LCD1602 I2C display for instant feedback.

    Sensor data are filtered and normalized; then a recognition algorithm maps finger postures and hand orientation to letters or simple commands. The output is shown locally on the display and can be forwarded to a software dashboard for logging.

Imagine Imagine
Catalog: Components & Resources
Bend Sensor 2.2" (x5)

One per finger (thumb–pinky). Measurement range normalized to 0–100%.

2.2"FlexAnalog
Arduino Portenta + IMU

Main board with integrated accelerometer & gyroscope.

IMUI/OC/C++
LCD1602 (I2C)

16×2 display for on-device feedback via I2C.

I2C16×2UI
Elastic Glove

Mechanical base to embed the sensors discreetly.

TextileMounting
Portable Power Supply

Battery pack with protections & regulation.

Power5V
Resistors & Capacitors

Dividers/filters for sensor signal conditioning.

RCFilter
Project Documentation

Overview, architecture, protocols, and state machine.

Firmware & Examples

Sensor readout, normalization, classification, LCD output.

Libraries

IMU / filtering / LCD1602 I2C / utilities.

Demo Project