NDLI: Attention-based addressee selection for service and social robots to interact with multiple persons

Please wait, while we are loading the content...

Prediction of early stage opponents strategy for StarCraft AI using scouting and machine learning

The nature of dialog: structural and lexical markers of dialogic teacher/learner interactions

Topology exploration with hierarchical landscapes

Modeling of bot usage diffusion across social networks in MMORPGs

Cute and soft: baby steps in designing robots for children with autism

Geometry-preserving topological landscapes

Survey and research direction on online game security

Developing a robotic platform to play with pre-school autistic children in a classroom environment

Luggage visualization and virtual unpacking

Gamepad vs. touchscreen: a comparison of action selection interfaces in computer games

Older adults' attitudes toward homes service robots

HeartPad: real-time visual guidance for cardiac ultrasound

Towards an expression recognition game to assist the emotional development of children with autism spectrum disorders

Adaptive impedance control for natural human-robot collaboration

Component-based approach for prototyping of movie-based physical therapy games

A GIM-based approach for biomimetic robot motion learning

Dynamic quest plot generation using Petri net planning

Intuitive interaction for robotic grasping

3D game model and texture generation using interactive genetic algorithm

Singularity robust inverse kinematics for a humanoid robot with minimum energy configuration and self-collision avoidance

Evolving story and character generation for role-playing games

System architecture for an interactive patrolling humanoid robot

Framework for multi-agent planning and coordination in DIS

Emotional sentence identification in a story

Attention-based addressee selection for service and social robots to interact with multiple persons

Towards more engaging telepresence by face tracking

Force and torque simulation in virtual tennis

Attention-based addressee selection for service and social robots to interact with multiple persons

Content Provider	ACM Digital Library
Author	Li, Liyuan Xu, Qianli Tan, Yeow Kee
Abstract	For robots to perform interaction with multiple persons, they have to be able to identify the addressees to interact with. We classify the methods of addressee detection and selection into two categories, namely, passive and active approaches. For passive approaches, the robot is programmed to detect a predefined signal, e.g., a voice command or a specific gesture, from a person who is supposed to be the addressee. In contrast, for active approaches, the robot is able to select a person as an addressee based on subtle cues that are inferred from the human pose, gaze, and facial expression. We present two new approaches for attention-based addressee selection, one is a passive method and the other is an active method. The passive method is designed for the robot to recognize common hand-waving gesture, where a Bayessian ensemble approach is proposed to fuse hand detections from depth segmentation, palm shape, skin color, and body pose. The active method is developed for the robot to perform natural interaction with multiple persons. It employs a novel human attention estimation algorithm based on human detection, tracking, upper body pose recogni-tion, face detection, gaze detection, lip motion analysis, and facial expression recognition. Extensive experiments have been conducted and the effectiveness of the proposed approaches is reported.
Starting Page	131
Ending Page	136
Page Count	6
File Format	PDF
ISBN	9781450318358
DOI	10.1145/2425296.2425319
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Social robot Human robot interaction Service robot Robotics Attention estimation Visual perception
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

Attention-based addressee selection for service and social robots to interact with multiple persons (2012)

Context aware addressee estimation for human robot interaction

Vision-based attention estimation and selection for social robot to perform natural interaction in the open world

Human-Friendly Interface Based on Visual Attention for Multiple Mobile Robots

Given that, should i respond? Contextual addressee estimation in multi-party human-robot interactions

Vision-based attention estimation and selection for social robot to perform natural interaction in the open world

Inferring visual attention and addressee in human robot interaction this is a temporary title page (2014).

Visual perception system for a social robot

Integrating vision and speech for conversations with multiple persons

Attention-based addressee selection for service and social robots to interact with multiple persons

Similar Documents

Attention-based addressee selection for service and social robots to interact with multiple persons (2012)

Context aware addressee estimation for human robot interaction

Vision-based attention estimation and selection for social robot to perform natural interaction in the open world

Human-Friendly Interface Based on Visual Attention for Multiple Mobile Robots

Given that, should i respond? Contextual addressee estimation in multi-party human-robot interactions

Vision-based attention estimation and selection for social robot to perform natural interaction in the open world

Inferring visual attention and addressee in human robot interaction this is a temporary title page (2014).

Visual perception system for a social robot

Integrating vision and speech for conversations with multiple persons

Attention-based addressee selection for service and social robots to interact with multiple persons