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Artificial Vision Algorithms for Socially Assistive Robot Applications: A Review of the Literature

Victor Manuel Montaño-Serrano, Juan Manuel Jacinto-Villegas, Adriana Herlinda Vilchis-González, Otniel Portillo-Rodríguez
2021 Sensors  
Today, computer vision algorithms are very important for different fields and applications, such as closed-circuit television security, health status monitoring, and recognizing a specific person or object  ...  Regarding this topic, the present paper deals with a recent review of the literature on computer vision algorithms (recognition and tracking of faces, bodies, and objects) oriented towards socially assistive  ...  Another example of face tracking is presented by Perez et al. [16] , who detected and tracked a patient's face using an algorithm based on optical flow.  ... 
doi:10.3390/s21175728 pmid:34502617 fatcat:jqnylgclnzdtlkvxsc3n6hxfru

Exploring the Performance of a Sensor-Fusion-based Navigation System for Human Following Companion Robots

Mark Tee Kit Tsun, Bee Theng Lau, Hudyjaya Siswoyo Jo
2018 International Journal of Mechanical Engineering and Robotics Research  
to the benchmark studies.  Index Terms-human-robot interaction, human-following, indoor navigation, sensor fusion, vision-based International  ...  This is further complicated when advanced hardware and computation-heavy algorithms such as Light Detection and Ranging (LiDAR) modules or Simultaneous Localization and Mapping (SLAM) are not readily available  ...  The Companion Avatar for the Mitigation of Injuries (CARMI) [20] was designed for autonomous following and monitoring the activity of a child with ASD.  ... 
doi:10.18178/ijmerr.7.6.590-598 fatcat:cinqujcr5zgidh2r6sfwsiykqy

Computer Vision Meets Educational Robotics

Aphrodite Sophokleous, Panayiotis Christodoulou, Lefteris Doitsidis, Savvas A. Chatzichristofis
2021 Electronics  
At the same time, today, the scientific subject of computer vision seems to dominate the field of robotics, leading to new and innovative ideas, solutions, and products.  ...  To the best of our knowledge, this is the first systematic approach that revises the educational robotics domain by considering computer vision as a key element.  ...  The robot uses a single camera complemented with the following computer vision algorithms (a) a field detection algorithm, (b) a robot position and orientation detection, and (c) a robot neighborhood extraction  ... 
doi:10.3390/electronics10060730 fatcat:czxxphzuzjgfrfb5nklzwbax5m

Development of a novel robot-mediated adaptive response system for joint attention task for children with autism

Esubalew Bekele, Uttama Lahiri, Julie Davidson, Zachary Warren, Nilanjan Sarkar
2011 2011 RO-MAN  
The system is composed of a humanoid robot with its vision being augmented by several wall-mounted cameras for real-time head tracking using a distributed architecture.  ...  Our current work seeks to bridge this gap by developing a novel adaptive and individualized robotmediated technology for children with ASD.  ...  However, the authors are solely responsible for the content of the article.  ... 
doi:10.1109/roman.2011.6005270 dblp:conf/ro-man/BekeleLDWS11 fatcat:33dv47ikhbh3vkvxi5q7vckeqm

Autonomous Social Distancing in Urban Environments using a Quadruped Robot [article]

Tingxiang Fan, Zhiming Chen, Xuan Zhao, Jing Liang, Cong Shen, Dinesh Manocha, Jia Pan, Wei Zhang
2020 arXiv   pre-print
The robot then uses an onboard real-time social distancing detection system to track nearby pedestrian groups.  ...  Next, the robot uses a crowd-aware navigation algorithm to move freely in highly dynamic scenarios.  ...  Crowd Gathering Detection We first record vision and LiDAR data to better analyze and tune the social distancing detection system.  ... 
arXiv:2008.08889v1 fatcat:6ptbrz3rprgp7d4p74rjb3pj64

Detection of stereotyped hand flapping movements in Autistic children using the Kinect sensor: A case study

Nuno Goncalves, Sandra Costa, Jose Rodrigues, Filomena Soares
2014 2014 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)  
This paper presents a case study on the use of the Microsoft Kinect sensor and the gesture recognition algorithm, Dynamic Time Warping (DTW to automatically detect stereotyped motor behaviours in children  ...  This study provides a valuable tool to monitor stereotypes in order to understand and to cope with this problematic.  ...  The skeleton tracking provides the coordinates Ox, Oy, Oz and their values for each joint detected.  ... 
doi:10.1109/icarsc.2014.6849788 dblp:conf/icarsc/GoncalvesCRS14 fatcat:3tdcsgid2bbstpwx7oic2dwtm4

Adaptive Robot Design with Hand and Face Tracking for Use in Autism Therapy [chapter]

Laura Boccanfuso, Jason M. O'Kane
2010 Lecture Notes in Computer Science  
This research explores interactive games using hand and face tracking with a robot as a tool for autism therapy.  ...  In the first game the robot waits for the child to initiate an interaction by raising one or both hands. In the second game, the robot initiates interactions.  ...  Hall and Elizabeth Wilkinson for their time, insight and support.  ... 
doi:10.1007/978-3-642-17248-9_28 fatcat:2pj2af4kcje6hbvmfcdqtwlwtu

Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019

Ryan Anthony J. de Belen, Tomasz Bednarz, Arcot Sowmya, Dennis Del Favero
2020 Translational Psychiatry  
The findings in this review suggest that computer vision analysis is useful for the quantification of behavioural/biological markers which can further lead to a more objective analysis in autism research  ...  A total of 94 studies are included in the analysis. Eligible papers are categorised based on the potential biological/behavioural markers quantified in each study.  ...  Afterwards, a fully automated computer vision algorithm detects and tracks 49 facial landmarks and estimates head pose angles.  ... 
doi:10.1038/s41398-020-01015-w pmid:32999273 fatcat:7sfld3ry2baznav5c7ztwxhxkq

Inferring door locations from a teammate's trajectory in stealth human-robot team operations

Jean Oh, Luis Navarro-Serment, Arne Suppe, Anthony Stentz, Martial Hebert
2015 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  
Experimental results on both synthetic data and real person tracking data achieve an F -measure of over .9 on average, suggesting further investigation on the use of non-visual perception in human-robot  ...  As a proof-ofconcept study, we specifically focus on a door detection problem in a stealth mission setting where a team operation must not be exposed to the visibility of the team's opponents.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.  ... 
doi:10.1109/iros.2015.7354127 dblp:conf/iros/OhNSSH15 fatcat:rkmhefca2rdhdfh4a2nambdivy

Hand-eye coordination for grasping moving objects

Peter K. Allen, Billibon Yoshimi, Alexander Timcenko, Paul Michelman, Paul S. Schenker
1991 Sensor Fusion III: 3D Perception and Recognition  
The dynamic vision system is used to feed a real-time arm control algorithm that plans a trajectory.  ...  We present 3 different strategies for intercepting the object and results from the tracking algorithm. The imaging system performs a stereoscopic optic-flow triangulation at real-time rates. 2.  ...  Optic-flow was chosen as the primitive upon which to base the tracking algorithm for the following reasons: .  ... 
doi:10.1117/12.25255 fatcat:jewtc33ghvd5tlhptgog6dn6fy

Autonomous Social Distancing in Urban Environments using a Quadruped Robot

Zhiming Chen, Tingxiang Fan, Xuan Zhao, Jing Liang, Cong Shen, Hua Chen, Dinesh Manocha, Jia Pan, Wei Zhang
2021 IEEE Access  
The robot then uses an onboard real-time social distancing detection system to track nearby pedestrian groups.  ...  Specifically, to achieve autonomy, we mount multiple cameras and a three dimensional light detection and ranging sensor (3D LiDAR) on the legged robot.  ...  In particular, we develop a learning-based collision avoidance algorithm for local planning, and use a global planner to plan trajectories for the robot to patrol.  ... 
doi:10.1109/access.2021.3049426 fatcat:7dqluj2cxfcibptgddk4ylc24a

Asymptotic Boundary Shrink Control with Multi-robot Systems [article]

Shaocheng Luo, Jonghoek Kim, Byung-Cheol Min
2020 arXiv   pre-print
For each robot, a novel controller is implemented that relies only on local vision sensors with limited vision range.  ...  Finally, features of this approach including the convergence of robot motion during boundary shrink control, spill clearance rate, and the capability to work under limited ranges of vision and wireless  ...  We utilize a local monocular vision sensor with which each robot detects and tracks the spill boundary.  ... 
arXiv:2006.12470v1 fatcat:gyay5nrdzjb2ngxuuz3vw355oy

CHARLIE : An Adaptive Robot Design with Hand and Face Tracking for Use in Autism Therapy

Laura Boccanfuso, Jason M. O'Kane
2011 International Journal of Social Robotics  
Basic turn-taking and imitation skills are imperative for effective communication and social interaction (Nehaniv in Imitation and Social Learning in Robots, Springer, New York, 2007).  ...  and Brok in  ...  Hall and Elizabeth Wilkinson for their time, insight and support.  ... 
doi:10.1007/s12369-011-0110-2 fatcat:bljja3pmtnfkxeq3pepn2c3fx4

. Social Robots For Reinforcing Attention And Forming Emotional Knowledge Of Children With Special Educational Needs

Lekova A, Tanev T, Vassileva-Aleksandrova V, S. Kostova, P. Dachkinov
2019 Zenodo  
BCI is a new technology for human-robot interaction and it can evolve into technology for self-regulatory training of attention and emotional skills via neurofeedback exposed on a robot.  ...  of a child.  ...  is monitored by external or internal observation of head and hand pose changes in time through a computer vision-based approach or by inertial sensors.  ... 
doi:10.5281/zenodo.3518978 fatcat:p27vqveijbaztpivjkjbl4667y

An Intelligent Alarm and Messaging Based Surveillance System for Fall Detection and Absence Recognition of Unaccompanied Child

Ali Javed, Rabeea Islam
2013 International Journal of Image Graphics and Signal Processing  
Advancement in the field of computer vision and the prominent decrease in the prices of digital cameras assisted and motivated researchers to propose very useful algorithms for fall detection.  ...  The proposed research work is based on the combination of motion history images and eclipse centroid calculation to detect the fall efficiently.  ...  Surveillance systems have provided applications for human tracking, activity monitoring, fall detection and so on. It is one of the major advancement in the field of Computer Vision.  ... 
doi:10.5815/ijigsp.2013.03.07 fatcat:mfrplcksazduhn7ssddvb3xcya
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