Hand Tremor Based Biometric Recognition Using Leap Motion Device

Atas, Musa

doi:10.1109/access.2017.2764471

Cited by 30 publications

(10 citation statements)

References 19 publications

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“…Ataş [36] focused on hand tremor-based biometric recognition. They argued that hand tremor could help to authenticate users due to its unique characteristics.…”

Section: Related Workmentioning

confidence: 99%

Improving Reliability: User Authentication on Smartphones Using Keystroke Biometrics

Wang

Zheng

et al. 2019

IEEE Access

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Keystroke biometrics is a well-investigated dynamic behavioral methodology that utilizes the unique behavioral patterns of users to verify their identity when tapping keys. However, the performance of keystroke biometrics is unreliable due to its high error rate and low robustness. In this paper, we propose differential evolution and adversarial noise-based user authentication (DEANUA), which is a verification scheme for enhancing reliability by reducing the error rate and improving robustness. We investigate the current mainstream features and build a more comprehensive feature set that composed of 146 features. Then, we use a differential evolution method to select an optimized feature set. With the support vector regression method on this feature set, we achieve an equal error rate (EER) of 0.12660% and also a 31.25% energy consumption reduction rate. In this paper, the model is trained with the training samples collected from one situation, but the model is used in various situations. Thus, the robustness of the model is inadequate. We constructed the adversarial noise samples to simulate users' behavioral characteristics in different situational contexts. We use the adversarial noise samples to test the models in a strict experimental environment, which raises the EER by 83.59%, to 10.9299%. Then, we enhance the model with adversarial noise samples to obtain an EER of 8.70932%, which is a reduction of 20.32%.

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“…Ataş [36] focused on hand tremor-based biometric recognition. They argued that hand tremor could help to authenticate users due to its unique characteristics.…”

Section: Related Workmentioning

confidence: 99%

Improving Reliability: User Authentication on Smartphones Using Keystroke Biometrics

Wang

Zheng

et al. 2019

IEEE Access

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“…Due to the bar code or appearance of the recognized WPT is easy to be copied, it is not suitable in WPT. Biometric recognition requires physical contact between recognition device, which has no application value in WPT [20], [21]. For magnetic recognition, the data of objects may be damaged in WPT, which affects the accuracy [22].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method of Wireless Power Transfer Identification and Resonance Decoupling Based on Frequency Hopping Communication

Yang

Huo

et al. 2019

IEEE Access

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Aiming at the risk of electricity theft of wireless power transfer (WPT) technology due to its untargeted and non-directional characteristics, a novel method of identification and resonance decoupling based on frequency hopping communication is proposed. The basic principle of the identification method is to make the resonant frequency of transmitter coil and receiver coil jump synchronously and randomly according to the pseudo-random code sequence, which can identify the load in single-source single-user mode and single-source multiuser mode respectively by calculating energy consumption ratio. And if user is illegal, then the resonant frequency of system jumps randomly to cut off the power, which is named resonance decoupling. The experimental circuit is designed on the basis of theoretical analysis and the method is verified. The test results are consistent with theoretical analysis, which has proved the validity of the method. This paper not only provides a solution to the power management of WPT system, but also is a support for the measurement of electricity, moreover, it is conducive to the further application and promotion of WPT technology. INDEX TERMS Frequency hopping communication, identification and resonance decoupling, pseudorandom code, wireless power transfer.

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“…These advances of optical tracking have boosted many applications and research in different areas, such as mid-air keyboard typing [3], interaction with large displays [4], and biometric recognition [5]. Most of the applications are for VR games and entertainment, as it can be seen in the application store of Leap Motion controller [6].…”

Section: Background and Motivationmentioning

confidence: 99%

“…The actual precision of the device is higher than the measured results. It was used to track hand tremor [5], which is 0.4 mm ± 0.2 mm for young individuals [11,12]. Although it is not as precise when tracking the occluded hand (Posture II), the overall precision of tracking palm position is less than 2 mm.…”

Section: Accuracy Of Trackingmentioning

confidence: 99%

“…The interaction technique for rotation around a fixed axis.Suppose ⃗⃗⃗⃗ is the normal of the plane perpendicular to the rotation axis. Projecting the tip positions onto the plane results in five fingertips positions of { ⃗⃗⃗⃗⃗ } =1 5 in the frame n and the points from the previous frame are {−1 ⃗⃗⃗⃗⃗⃗⃗⃗⃗ } =15 . The geometrical center of the points on…”

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confidence: 99%

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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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Hand Tremor Based Biometric Recognition Using Leap Motion Device

Cited by 30 publications

References 19 publications

Improving Reliability: User Authentication on Smartphones Using Keystroke Biometrics

Improving Reliability: User Authentication on Smartphones Using Keystroke Biometrics

A Novel Method of Wireless Power Transfer Identification and Resonance Decoupling Based on Frequency Hopping Communication

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

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