Analysis of the Accuracy and Robustness of the Leap Motion Controller

By Frank Weichert, Daniel Bachmann, Bartholomäus Rudak, Denis Fisseler. Italian National Conference on Sensors, 2013

986 citations recorded by the source corpus.

The Leap Motion Controller is a new device for hand gesture controlled user interfaces with declared sub-millimeter accuracy. However, up to this point its capabilities in real environments have not been analyzed. Therefore, this paper presents a first study of a Leap Motion Controller. The main focus of attention is on the evaluation of the accuracy and repeatability. For an appropriate evaluation, a novel experimental setup was developed making use of an industrial robot with a reference pen allowing a position accuracy of 0.2 mm. Thereby, a deviation between a desired 3D position and the average measured positions below 0.2 mm has been obtained for static setups and of 1.2 mm for dynamic setups. Using the conclusion of this analysis can improve the development of applications for the Leap Motion controller in the field of Human-Computer Interaction.

Subfields: Control and Systems Engineering, Mechanical Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/3e98e2cdba41c973bde0e95652bc796192c2215b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Hong Cheng
2. Pietro Zanuttigh
3. Lu Yang
4. Zicheng Liu

In Mechanical Engineering

1. Hong Cheng
2. Lu Yang
3. Zicheng Liu

In Human-Computer Interaction

1. Hong Cheng
2. Lu Yang
3. Zicheng Liu
4. Hossein Rahmani
5. Michael Firman
6. Wanqing Li
7. Yingli Tian
8. Pichao Wang

Citations in the corpus

• Survey on 3D Hand Gesture Recognition (2016, background): “Since the accuracy [76] and the suitability of the leap motion controller for sign language recognition [34] have been well reviewed, we expect that these evaluations for leap motion can help researchers to”
• An Analysis of the Precision and Reliability of the Leap Motion Sensor and Its Suitability for Static and Dynamic Tracking (2014, methodology): “2 mm) reported in [15] combines with our results to evaluate the controller as a reliable and accurate system for tracking static points.”
• Hand gesture recognition with leap motion and kinect devices (2014, background): “(according to [11] the accuracy is of about 200μm) and it is not necessary to perform image processing tasks to extract the relevant points.”