• Mr. Anand M
• Sona Ganesh G
• Sushmashree B S
• Namana Prasanna

: Motion gestures provide a complementary modality for general human-computer interaction. Motion gestures are meant to be simple so that a user can easily memorize and perform them. However, motion gestures themselves are not expressive enough to input text for motion-based control. We define “air-writing” as writing letters or words in free space. Air-writing is especially useful for user interfaces that do not allow the user to type on a keyboard. To develop a Machine Learning based system that uses gestures to perform functions. There are a lot of gesture-based applications existing in today’s world but every time we want to use a gesture-controlled application, we need to learn the predefined gestures and the functionality is also limited to the defaults provided with it. For this project, we aim to build a system that can be trained to recognize the gestures we make and perform the dedicated function we decide for it. We will be demonstrating this by training the system to recognize letters by the gestures we make in the air. To build this system, we will be using an Arduino board interfaced with an accelerometer. The device can be attached to the user’s hand. The accelerometer will provide input to the microcontroller about the hand’s coordinates. The algorithm will pick up this data and maintain a database to recognize each gesture differently. Once we train the system with the same gesture multiple times it will gather enough data to have an estimate of what the gesture should look like. The inputted letters are then converted to voice.

Machine Learning, Virtual keyboard, GPS, Training data

"A MID-AIR WORD GESTURE AND VOICE ALERT SYSTEM FOR PHYSICALLY CHALLENGED USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.g409-g419, July-2021, Available :http://www.jetir.org/papers/JETIR2107786.pdf

"A MID-AIR WORD GESTURE AND VOICE ALERT SYSTEM FOR PHYSICALLY CHALLENGED USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppg409-g419, July-2021, Available at : http://www.jetir.org/papers/JETIR2107786.pdf