Evaluation of the accuracy of the Leap Motion controller for measurements of grip aperture

Hornsey, Rebecca L.; Hibbard, Paul B.

doi:10.1145/2824840.2824855

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Limitations associated with the spatial accuracy of the LMC system have been discussed in prior studies [ 17 , 37 ]. Although not the focus of the current investigation, our results clearly corroborate these studies: endpoint limb position during aiming movements, and MGA obtained during the grasping task were both highly variable.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements

et al. 2018

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Kinematic analysis of upper limb reaching provides insight into the central nervous system control of movements. Until recently, kinematic examination of motor control has been limited to studies conducted in traditional research laboratories because motion capture equipment used for data collection is not easily portable and expensive. A recently developed markerless system, the Leap Motion Controller (LMC), is a portable and inexpensive tracking device that allows recording of 3D hand and finger position. The main goal of this study was to assess the concurrent reliability and validity of the LMC as compared to the Optotrak, a criterion-standard motion capture system, for measures of temporal accuracy and peak velocity during the performance of upper limb, visually-guided movements. In experiment 1, 14 participants executed aiming movements to visual targets presented on a computer monitor. Bland-Altman analysis was conducted to assess the validity and limits of agreement for measures of temporal accuracy (movement time, duration of deceleration interval), peak velocity, and spatial accuracy (endpoint accuracy). In addition, a one-sample t-test was used to test the hypothesis that the error difference between measures obtained from Optotrak and LMC is zero. In experiment 2, 15 participants performed a Fitts’ type aiming task in order to assess whether the LMC is capable of assessing a well-known speed-accuracy trade-off relationship. Experiment 3 assessed the temporal coordination pattern during the performance of a sequence consisting of a reaching, grasping, and placement task in 15 participants. Results from the t-test showed that the error difference in temporal measures was significantly different from zero. Based on the results from the 3 experiments, the average temporal error in movement time was 40±44 ms, and the error in peak velocity was 0.024±0.103 m/s. The limits of agreement between the LMC and Optotrak for spatial accuracy measures ranged between 2–5 cm. Although the LMC system is a low-cost, highly portable system, which could facilitate collection of kinematic data outside of the traditional laboratory settings, the temporal and spatial errors may limit the use of the device in some settings.

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Section: Discussionmentioning

confidence: 99%

Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements

et al. 2018

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“…However, the precision decreases significantly when it comes to tracking fingertips which are located close to each other. According to [20], the error of Leap Motion controller was 0.878 cm when the distance between the thumb tip and index fingertip was 1 cm. Only when the separation distance was larger than 5 cm, the error was smaller than 0.04 cm This result was also confirmed in [19], which reported that the device failed to track the constant tip distance (21.36 mm, sd = 0.023 mm) of two sticks -the tracking was so unstable that the deviation was not limited to 0.8 cm.…”

Section: Technologies Of 3d Hand Motion Trackingmentioning

confidence: 99%

Mid-air interaction with optical tracking for 3D modeling

Cui

Sourin

2018

Computers & Graphics

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“…However, the sub-millimeter accuracy is not stable when fingertips were too close. Tests in [36] showed that Leap Motion controller had error of 0.878 cm when the distance between the thumb tip and index fingertip was 1 cm. Only when the separation distance was larger than 5 cm, the error was smaller than 0.04 cm.…”

Section: Optical Tracking Technologiesmentioning

confidence: 99%

Mid-air hand interaction with optical tracking for 3D modelling

Cui¹

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Compared to common 2D interaction done with mouse and other 2D-tracking devices, 3D hand tracking with low-cost optical cameras can provide more degrees of freedom, as well as natural gestures when shape modeling and assembling are done in virtual spaces. However, though quite precise, the optical tracking devices cannot avoid problems intrinsic to hand interaction, such as hand tremor and jump release, and they also introduce an additional problem of occlusion. This thesis investigates whether interaction during 3D modeling can be improved by using optical sensors so that 3D tasks can be performed in a way similar to interaction in real life and as efficient as when using common 2D-tracking based interaction while still minimizing the intrinsic problems of precise hand manipulations and optical problems. After surveying the relevant works and analyzing technical capabilities of the commonly available optical sensors, two approaches are thoroughly investigated for the natural mid-air hand interaction in precise 3D modeling-they are collision-based and gesture-based interaction. For collision-based methods, a set of virtual interaction techniques is proposed to realistically simulate real-life manipulation and deformation with one and two hands. For gesture-based interaction, a core set of interaction techniques is also devised which allows natural real-life interaction ways to be used. In addition, algorithms are proposed for both collision-based and gesture-based interaction to enhance the precision while minimizing the problems of hand tremor and jump release. However, the results show that virtual interaction designed with collision-based methods is always slower than real-First of all, I would like to thank my supervisor Associate Professor Alexei Sourin for his invaluable instructions and guidance. I am grateful to him for his help throughout my time as a research student at Nanyang Technological University. I also thank Professor Arjan Kuijper for giving me valuable advice and guiding my research at TU Darmstadt. It is credit to their efforts and ideas that my research has reached this point. I also wish to express my gratitude to the School of Computer Science and Engineering and Nanyang Technological University for providing me the opportunity and financial support to further my study and research. Special thanks go to the Joint PhD Degree Programme NTU-TU Darmstadt and Fraunhofer Singapore for supporting my project. I wish to thank my parents for their support. I would like to thank my wife Jin Luying for her selfless concern and encouragement. Praises and thanks to the God, the Almighty, for His showers of blessings throughout my research work to complete the research successfully.

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Evaluation of the accuracy of the Leap Motion controller for measurements of grip aperture

Cited by 5 publications

References 2 publications

Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements

Evaluation of the Leap Motion Controller during the performance of visually-guided upper limb movements

Mid-air interaction with optical tracking for 3D modeling

Mid-air hand interaction with optical tracking for 3D modelling

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