# On the Evaluation Protocol of Gesture Recognition for UAV-based Rescue Operation based on Deep Learning: A Subject-Independence Perspective

arXiv: https://arxiv.org/abs/2602.17854 · HTML: https://mlsanity.com/paper/2602.17854/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 39 references that are in the map.
- First posted on arXiv 19 Feb 2026.

## Builds on (most cited first, 9 of 9)

- [Simple Online and Realtime Tracking with a Deep Association Metric](https://mlsanity.com/paper/1703.07402/) (2017)
- [An Introduction to Convolutional Neural Networks](https://mlsanity.com/paper/1511.08458/) (2015)
- [HaGRID - HAnd Gesture Recognition Image Dataset](https://mlsanity.com/paper/2206.08219/) (2022)
- [UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition](https://mlsanity.com/paper/1901.02602/) (2019)
- [Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning](https://mlsanity.com/paper/2401.13796/) (2024)
- [A Two-stream Neural Network for Pose-based Hand Gesture Recognition](https://mlsanity.com/paper/2101.08926/) (2021)
- [Continuous Human Action Recognition for Human-Machine Interaction: A Review](https://mlsanity.com/paper/2202.13096/) (2022)
- [Dynamic Gesture Recognition by Using CNNs and Star RGB: a Temporal Information Condensation](https://mlsanity.com/paper/1904.08505/) (2019)
- [Surgical Gesture Recognition with Optical Flow only](https://mlsanity.com/paper/1904.01143/) (2019)

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

- [A Deployment Study of Identity-Gated Drone Gesture Control](https://mlsanity.com/paper/2609.25511/) (2026)

## Abstract (arXiv)

This paper presents a methodological analysis of the gesture-recognition approach proposed by Liu and Szir'anyi, with a particular focus on the validity of their evaluation protocol. We show that the reported near-perfect accuracy metrics result from a frame-level random train-test split that inevitably mixes samples from the same subjects across both sets, causing severe data leakage. By examining the published confusion matrix, learning curves, and dataset construction, we demonstrate that the evaluation does not measure generalization to unseen individuals. Our findings underscore the importance of subject-independent data partitioning in vision-based gesture-recognition research, especially for applications - such as UAV-human interaction - that require reliable recognition of gestures performed by previously unseen people.