Air Writing Recognition

N.Venkatesh Naik
Computer Science andEngineering(Data Science)Santhiram Engineering College
Nandyal,Indiananavath.v2020@gmail.com, 00090008-4598-795X
B. Naga Vasanth Reddy
Computer Science andEngineering(Data Scienece)Santhiram Engineering College
Nandyal,Indiavasanthnaga6@gmail.com

V.Teja
Computer Science andEngineering(Data Science)Santhiram Engineering College
Nandyal,Indiavadakattuteja87@gmail.com
S.Mahaboob Hussain Computer
Science and Engineering(DataScience)
Santhiram Engineering CollegeNandyal,India
22x51a3248@srecnandyal.edu.in
M.Ashok Kumar Computer Science
and Engineering(Data Science)Santhiram Engineering College
Nandyal,Indiamashok984899@gmail.com
B.Manjunath
Computer Science andEngineering(Data Science) Santhiram
Engineering College Nandyal,India22x51a3204@srecnandyal.edu.in

Abstract—This paper introduces an innovative approach to real-time recognition of alphanumeric characters in a three dimensional space through hand or finger gestures, popularly known as air writing. The system's primary objective is to establish an intuitive and seamless mode of interaction with intelligent devices like smart TVs and robots, thereby advancing human-computer interaction. Leveraging sophisticated algorithms, notably OpenCV for precise hand tracking and trajectory extraction from a cost-effective web camera, the system addresses inherent challenges in dynamic gestures, including variations in speed, style, and occlusions.