NDLI: Kinect based calling gesture recognition for taking order service of elderly care robot

Content Provider	IEEE Xplore Digital Library
Author	Xinshuang Zhao Naguib, A.M. Sukhan Lee
Copyright Year	2014
Description	Author affiliation: Intell. Syst. Res. Inst., Sungkyunkwan Univ., Suwon, South Korea (Xinshuang Zhao; Naguib, A.M.) \|\| Interaction Sci. Dept., Sungkyunkwan Univ., Suwon, South Korea (Sukhan Lee)
Abstract	This paper proposes a Kinect-based calling gesture recognition scenario for taking order service of an elderly care robot. The proposed scenarios are designed mainly for helping non expert users like elderly to call service robot for their service request. In order to facilitate elderly service, natural calling gestures are designed to interact with the robot. Our challenge here is how to make the natural calling gesture recognition work in a cluttered and randomly moving objects. In this approach, there are two modes of our calling gesture recognition: Skeleton based gesture recognition and Octree based gesture recognition. Individual people is segmented out from 3D point cloud acquired by Microsoft Kinect, skeleton is generated for each segment, face detection is applied to identify whether the segment is human or not, specific natural calling gestures are designed based on skeleton joints. For the case that user is sitting on a chair or sofa, correct skeleton cannot be generated, Octree based gesture recognition procedure is used to recognize the gesture, in which human segments with head and hand are identified by face detection as well as specific geometrical constrains and skin color evidence. The proposed method has been implemented and tested on “HomeMate”, a service robot developed for elderly care. The performance and results are given.
Starting Page	525
Ending Page	530
File Size	790588
Page Count	6
File Format	PDF
ISBN	9781479967636
e-ISBN	9781479967650
DOI	10.1109/ROMAN.2014.6926306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-25
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Skeleton Senior citizens Gesture recognition Sensors Face detection Octrees
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in