This paper reviews hand gesture datasets based on the Leap Motion Controller, a device that captures and tracks hand gestures in real-time. It aims to provide a resource for developing and evaluating gesture recognition algorithms. The review compares various datasets, considering factors like target domain, dataset size, gesture diversity, subject numbers, and data modality. The strengths and limitations of each dataset are discussed, along with their applications and research areas. An evaluation of the leap motion controller device is conducted to assess its capabilities in generating gesture data for applications, focusing on touchless interactive systems and virtual reality.
Publication date: 9 Nov 2023
Project Page: Not provided
Paper: https://arxiv.org/pdf/2311.04373
