Foot Gesture Based Text Entry System

Foot Gesture Based Text Entry System

Rupam Das

Rupam Das

Bengaluru, Karnataka

You have heard a lot about hand gesture. But what about support to people with an upper body paralysis?This is the project to look for

Android

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Description

The project mainly has two components: A) Android App. The android app has a sensor manager that monitors for accelerometer sensor changes. The changes are then classified by algorithm developed by us as UP/DOWN/LEFT/RIGHT and Shake gestures. Android app publishes the gesture to MqTT Sever running on local system over wifi.

B) Pc App: The PC app subscribes to Mqtt channel and obtains the classified gesture. These gestures are then mapped to morse code and the morse code then converts the data to English text. It is little slow at this moment but expected to improve with time.

Links

Foot Gesture Base Text Entry ( Text Typing) System

Rupam

Rupam D. added photos to project Foot Gesture Based Text Entry System

Medium b164ad72 6c1b 4735 9aa4 56dc79a3d54d

Foot Gesture Based Text Entry System

The project mainly has two components:
A) Android App. The android app has a sensor manager that monitors for accelerometer sensor changes. The changes are then classified by algorithm developed by us as UP/DOWN/LEFT/RIGHT and Shake gestures. Android app publishes the gesture to MqTT Sever running on local system over wifi.

B) Pc App: The PC app subscribes to Mqtt channel and obtains the classified gesture. These gestures are then mapped to morse code and the morse code then converts the data to English text. It is little slow at this moment but expected to improve with time.

Medium rupam

Rupam D. created project Foot Gesture Based Text Entry System

Medium b164ad72 6c1b 4735 9aa4 56dc79a3d54d

Foot Gesture Based Text Entry System

The project mainly has two components: A) Android App. The android app has a sensor manager that monitors for accelerometer sensor changes. The changes are then classified by algorithm developed by us as UP/DOWN/LEFT/RIGHT and Shake gestures. Android app publishes the gesture to MqTT Sever running on local system over wifi.

B) Pc App: The PC app subscribes to Mqtt channel and obtains the classified gesture. These gestures are then mapped to morse code and the morse code then converts the data to English text. It is little slow at this moment but expected to improve with time.

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