Gesture-Based Interfaces: Practical Applications of Gestures in Real World Mobile Settings

Rico, Julie; Crossan, Andrew; Brewster, Stephen

doi:10.1007/978-0-85729-433-3_14

Cited by 12 publications

(8 citation statements)

References 20 publications

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“…In addition, we were curious about the location acceptability of our technique. As mentioned in [19], both location and audience play a significant role in determining which gestures are acceptable. Therefore, after completing all the gestures, participants rated both our technique and the stroke-based onscreen authentication technique from Android phones in different hypothetical locations such as private, office, and public environments.…”

Section: User Study 2: Determining Airauth's Accuracymentioning

confidence: 98%

AirAuth

Aumi

Kratz

2014

Proceedings of the 16th International Conference on Human-Computer Interaction With Mobile Devices &Amp; Services

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Secure authentication with devices or services that store sensitive and personal information is highly important. However, traditional password and pin-based authentication methods compromise between the level of security and user experience. AirAuth is a biometric authentication technique that uses in-air gesture input to authenticate users. We evaluated our technique on a predefined (simple) gesture set and our classifier achieved an average accuracy of 96.6% in an equal error rate (EER-)based study. We obtained an accuracy of 100% when exclusively using personal (complex) user gestures. In a further user study, we found that AirAuth is highly resilient to video-based shoulder surfing attacks, with a measured false acceptance rate of just 2.2%. Furthermore, a longitudinal study demonstrates AirAuth's repeatability and accuracy over time. AirAuth is relatively simple, robust and requires only a low amount of computational power and is hence deployable on embedded or mobile hardware. Unlike traditional authentication methods, our system's security is positively aligned with user-rated pleasure and excitement levels. In addition, AirAuth attained acceptability ratings in personal, office, and public spaces that are comparable to an existing stroke-based on-screen authentication technique. Based on the results presented in this paper, we believe that AirAuth shows great promise as a novel, secure, ubiquitous, and highly usable authentication method.

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Section: User Study 2: Determining Airauth's Accuracymentioning

confidence: 98%

AirAuth

Aumi

Kratz

2014

Proceedings of the 16th International Conference on Human-Computer Interaction With Mobile Devices &Amp; Services

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“…Gestures are captured with the help of cameras and stored in the database. When gestures are captured using input devices such as scanners or cameras, the processor inside these devices compares with the database and performs action accordingly [8]. …”

Section: Gesture User Interfacementioning

confidence: 99%

A Survey on User Interfaces for Interaction with Human and Machines

Razzaq¹,

Qureshi²,

Memon³

et al. 2017

ijacsa

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Abstract-Interaction with the machines and computers is achieved using user interfaces. Nowadays, with the tremendous growth of technology, the interaction is made more simple and flexible. The study of user interfaces for human-computers and machines interaction is the main focus of this paper. In particular, an extensive overview of different user interfaces available so far is provided. The review covers text-based, graphical-based, and new class of emerging user interfaces to interact with the machines and computers. This work will be helpful for the development of new user interfaces.Keywords-Command line interface (CLI); graphical user interface (GUI); user interface (UI); sixth sense device; natural language interface; brain-computer interface; emerging user interfaces

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“…Although the study and implementation of such interfaces date back to 1980 when the "Put-That-There" system was developed (Bolt, 1980), such topic has been more a research field rather than a real industrial interest for general purpose applications, mainly due to its relatively low social acceptance and to the high cost of the associated devices (Rico et al, 2011). The real boost to this approach was represented by the need to manage 3D interactions in the video-gaming industry, that from the early 2000 started to develop human-machine interfaces alternative to keyboarddriven cursors.…”

Section: Gesture Trackingmentioning

confidence: 99%

3d Capturing Performances of Low-Cost Range Sensors for Mass-Market Applications

Guidi¹,

Gonizzi²,

Micoli³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Since the advent of the first Kinect as motion controller device for the Microsoft XBOX platform (November 2010), several similar active and low-cost range sensing devices have been introduced on the mass-market for several purposes, including gesture based interfaces, 3D multimedia interaction, robot navigation, finger tracking, 3D body scanning for garment design and proximity sensors for automotive. However, given their capability to generate a real time stream of range images, these has been used in some projects also as general purpose range devices, with performances that for some applications might be satisfying. This paper shows the working principle of the various devices, analyzing them in terms of systematic errors and random errors for exploring the applicability of them in standard 3D capturing problems. Five actual devices have been tested featuring three different technologies: i) Kinect V1 by Microsoft, Structure Sensor by Occipital, and Xtion PRO by ASUS, all based on different implementations of the Primesense sensor; ii) F200 by Intel/Creative, implementing the Realsense pattern projection technology; Kinect V2 by Microsoft, equipped with the Canesta TOF Camera. A critical analysis of the results tries first of all to compare them, and secondarily to focus the range of applications for which such devices could actually work as a viable solution.

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Gesture-Based Interfaces: Practical Applications of Gestures in Real World Mobile Settings

Cited by 12 publications

References 20 publications

AirAuth

AirAuth

A Survey on User Interfaces for Interaction with Human and Machines

3d Capturing Performances of Low-Cost Range Sensors for Mass-Market Applications

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