English

Accelerography: Feasibility of Gesture Typing using Accelerometer

Applications 2020-04-01 v1 Human-Computer Interaction Machine Learning Machine Learning

Abstract

In this paper, we aim to look into the feasibility of constructing alphabets using gestures. The main idea is to construct gestures, that are easy to remember, not cumbersome to reproduce and easily identifiable. We construct gestures for the entire English alphabet and provide an algorithm to identify the gestures, even when they are constructed continuously. We tackle the problem statistically, taking into account the problem of randomness in the hand movement gestures of users, and achieve an average accuracy of 97.33% with the entire English alphabet.

Cite

@article{arxiv.2003.14310,
  title  = {Accelerography: Feasibility of Gesture Typing using Accelerometer},
  author = {Arindam Roy Chowdhury and Abhinandan Dalal and Shubhajit Sen},
  journal= {arXiv preprint arXiv:2003.14310},
  year   = {2020}
}
R2 v1 2026-06-23T14:34:01.567Z