A close-range gesture interaction with Kinect

Harrison Cook; Quang Vinh Nguyen; Simeon Simoff; Tomas Trescak; Dean Preston

doi:10.1109/BDVA.2015.7314284

A close-range gesture interaction with Kinect

Harrison Cook, Quang Vinh Nguyen, Simeon Simoff, Tomas Trescak, Dean Preston

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

8 Citations (Scopus)

Abstract

A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft's Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game and compare the results to the Leap Motion device.

Original language	English
Title of host publication	Proceedings of the 1st IEEE International Symposium on Big Data Visual Analytics (BDVA), Hobart, Australia, 22-25 September 2015
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Print)	9781467373432
DOIs	https://doi.org/10.1109/BDVA.2015.7314284
Publication status	Published - 2015
Event	IEEE International Symposium on Big Data Visual Analytics - Duration: 22 Sept 2015 → …

Conference

Conference	IEEE International Symposium on Big Data Visual Analytics
Period	22/09/15 → …

Keywords

finger interaction
gesture recognition
human-computer interaction
natural user interaction

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10.1109/BDVA.2015.7314284

Cite this

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title = "A close-range gesture interaction with Kinect",

abstract = "A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft's Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game and compare the results to the Leap Motion device.",

keywords = "finger interaction, gesture recognition, human-computer interaction, natural user interaction",

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note = "IEEE International Symposium on Big Data Visual Analytics ; Conference date: 22-09-2015",

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TY - GEN

T1 - A close-range gesture interaction with Kinect

AU - Cook, Harrison

AU - Nguyen, Quang Vinh

AU - Simoff, Simeon

AU - Trescak, Tomas

AU - Preston, Dean

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N2 - A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft's Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game and compare the results to the Leap Motion device.

AB - A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft's Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game and compare the results to the Leap Motion device.

KW - finger interaction

KW - gesture recognition

KW - human-computer interaction

KW - natural user interaction

UR - http://handle.uws.edu.au:8081/1959.7/uws:32669

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DO - 10.1109/BDVA.2015.7314284

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BT - Proceedings of the 1st IEEE International Symposium on Big Data Visual Analytics (BDVA), Hobart, Australia, 22-25 September 2015

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ER -

A close-range gesture interaction with Kinect

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Keywords

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