Precise Pointing Direction Estimation using Depth Data

Das, SS (2018) Precise Pointing Direction Estimation using Depth Data. In: 27th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2018, 27 - 31 August 2018, Nanjing, pp. 202-207.

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Abstract

Pointing direction estimation(PDE) is an important component of many Human Computer Interaction(HCI) applications such as human robot interaction, virtual reality, home automation, driver assistance systems etc. Existing vision based methods using only RGB data need multi-camera setup and are prone to problems due to variation in illumination and in skin color. Depth based techniques mostly use multiple body parts like head, shoulder etc. This imposes restriction on the user location and orientation w.r.t. camera. The only depth based method which uses only the hand region is restricted to a table top scenario and a small range of angles. To circumvent the above problems we propose a depth data based PDE technique that uses only the hand region and is better than existing techniques in terms of range of angles and robustness to variation of depth of the hand w.r.t. the camera while returning an accuracy that is comparable to existing techniques.

Item Type:	Conference Paper
Publication:	RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Automobile drivers; Cameras; Human computer interaction; Virtual reality, Direction estimation; Driver assistance system; Home automation; Human Computer Interaction (HCI); Multi-cameras; Skin color; User location; Vision-based methods, Human robot interaction
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	04 Aug 2022 06:12
Last Modified:	04 Aug 2022 06:12
URI:	https://eprints.iisc.ac.in/id/eprint/75162

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