Evaluation of leap motion controller effectiveness on 2D game environments using usability heuristics

Martins, Rafael; Notargiacomo, Pollyana

doi:10.1007/s11042-020-09696-7

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…It was a revolutionary device, being very lightweight (only 32 g), compact (80 × 30 × 11.30 mm), fast (between 40 fps to 120 fps, depending on the managing hardware), and precise (about 1 mm) [18,19]. In the beginning, the LMC was designed to be placed and used on a desk and connected to a personal computer, and several works appeared using it in disparate applications [8,[20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

Portable Head-Mounted System for Mobile Forearm Tracking

Polsinelli,

Di Matteo,

Lozzi

et al. 2024

Sensors

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Computer vision (CV)-based systems using cameras and recognition algorithms offer touchless, cost-effective, precise, and versatile hand tracking. These systems allow unrestricted, fluid, and natural movements without the constraints of wearable devices, gaining popularity in human–system interaction, virtual reality, and medical procedures. However, traditional CV-based systems, relying on stationary cameras, are not compatible with mobile applications and demand substantial computing power. To address these limitations, we propose a portable hand-tracking system utilizing the Leap Motion Controller 2 (LMC) mounted on the head and controlled by a single-board computer (SBC) powered by a compact power bank. The proposed system enhances portability, enabling users to interact freely with their surroundings. We present the system’s design and conduct experimental tests to evaluate its robustness under variable lighting conditions, power consumption, CPU usage, temperature, and frame rate. This portable hand-tracking solution, which has minimal weight and runs independently of external power, proves suitable for mobile applications in daily life.

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Section: Related Workmentioning

confidence: 99%

Portable Head-Mounted System for Mobile Forearm Tracking

Polsinelli,

Di Matteo,

Lozzi

et al. 2024

Sensors

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“…Another area that uses hand gestures to interact with computers is virtual reality (Wu et al 2012, Shen et al 2011Połap 2018;Połap et al 2020). In computer games (Hoshino 2017;Martins and Notargiacomo, 2021), the position of the player's hand is tracked to control the movements and orientation of the game objects such as cars and avatars.…”

Section: Related Workmentioning

confidence: 99%

Object manipulation and deformation using hand gestures

Mahdikhanlou

Ebrahimnezhad

2021

J Ambient Intell Human Comput

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Compared to the mouse, as a two-dimensional and precise interface device, hand gestures provide more degrees of freedom for users to interact with computers by employing intelligent computing methods. Leap Motion Controller is gaining more popularity due to its ability to detect and track hand joints in three dimensions. However, in some cases, the Leap Motion Controller measurements are not correct enough. We show that the occlusion, palm angle, and the limited field of view are the main downsides of the Leap Motion Controller. In this paper, a framework is proposed to manipulate and deform a three-dimensional object by hand gestures. We select only a few gestures so that the system instructions can be easily memorized. The gestures are not defined very strictly, so users can do them properly without getting tired. We propose that calculating a reliable space from a Leap Motion Controller can significantly reduce these problems. To deform objects, the Free Form Deformation technique is used, which allows for more local deformation. The selected gestures and determined space for interaction make the deformation framework achieve a balance between the accuracy, user-factors, required tasks for deformation, and limitation of the hand tracking device. The proposed method, compared to related studies, offers more creative methods for deforming objects and more natural movements to interact with the system. According to the conducted user study, a significant difference is observed between hand gesture interaction and mouse in terms of speed and number of attempts.

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