# Engineering Gesture-Based Authentication Systems

arXiv: https://arxiv.org/abs/1408.6010 · HTML: https://mlsanity.com/paper/1408.6010/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Aug 2014.

## Built on by (most cited first, 1 of 1)

- [Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication](https://mlsanity.com/paper/2110.14597/) (2021)

## Abstract (arXiv)

Gestures are a topic of increasing interest in authentication and successful implementation as a security layer requires reliable gesture recognition. So far much work focuses on new ways to recognize gestures, leaving discussion on the viability of recognition in an authentication scheme to the background. It is unclear how recognition should be deployed for practical and robust real-world authentication. In this article, we analyze the effectiveness of different approaches to recognizing gestures and the potential for use in secure gesture-based authentication systems.
