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

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5728
Author(s):  
Victor Manuel Montaño-Serrano ◽  
Juan Manuel Jacinto-Villegas ◽  
Adriana Herlinda Vilchis-González ◽  
Otniel Portillo-Rodríguez
Keyword(s):  
Computer Vision ◽  
Processing Speed ◽  
General Information ◽  
Artificial Vision ◽  
Review Of The Literature ◽  
Status Monitoring ◽  
Assistive Robot ◽  
The One ◽  
Socially Assistive Robot ◽  
And Robotics

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 and robotics. 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 robot applications. The performance, frames per second (FPS) processing speed, and hardware implemented to run the algorithms are highlighted by comparing the available solutions. Moreover, this paper provides general information for researchers interested in knowing which vision algorithms are available, enabling them to select the one that is most suitable to include in their robotic system applications.

scholarly journals The Design of Lil’Flo, a Socially Assistive Robot for Upper Extremity Motor Assessment and Rehabilitation in the Community Via Telepresence

2020 ◽  
Author(s):  
Michael J Sobrepera ◽  
Vera G Lee ◽  
Michelle J Johnson
Keyword(s):  
Computer Vision ◽  
Upper Extremity ◽  
Rural Areas ◽  
Vision System ◽  
Motor Assessment ◽  
Rehabilitation Care ◽  
Novel Approach ◽  
Assistive Robot ◽  
The Rich ◽  
Socially Assistive Robot

AbstractIntroductionWe present Lil’Flo, a socially assistive robotic telerehabilitation system for deployment in the community. As shortages in rehabilitation professionals increase, especially in rural areas, there is a growing need to deliver care in the communities where patients live, work, learn, and play. Traditional telepresence, while useful, fails to deliver the rich interactions and data needed for motor rehabilitation and assessment.MethodsFrom prior work, we have developed design requirements for a socially assistive robot for upper extremity motor assessment and rehabilitation via telepresence. We designed Lil’Flo, targeted towards pediatric patients with cerebral palsy and brachial plexus injuries. The system combines traditional telepresence and computer vision with a humanoid, who can play games with patients and guide them in a present and engaging way under the supervision of a remote clinician.ResultsThe humanoid’s arms have sufficient range of motion, and the face is able to communicate several emotions clearly. The system is portable, extensible, and cheaper than our prior iteration. A simple web interface allows operators to focus on interactions while the computer vision system stores data for analysis.ConclusionsLil’Flo represents a novel approach to delivering rehabilitation care in the community while maintaining the clinician-patient connection.

The influence of a socially assistive robot on mood, anxiety, and arousal in children.

2018 ◽  
Vol 49 (1) ◽  
pp. 48-56 ◽  
Author(s):  
Molly K. Crossman ◽  
Alan E. Kazdin ◽  
Elizabeth R. Kitt
Keyword(s):  
Assistive Robot ◽  
Socially Assistive Robot

Computer Vision and robotics in postal automation

1999 ◽  
Vol 18 (3-4) ◽  
pp. 265-273
Author(s):  
Giovanni B. Garibotto
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Material Handling ◽  
State Of The Art ◽  
Short Description ◽  
The Other ◽  
Functional Requirements ◽  
Postal Automation ◽  
And Robotics

The paper is intended to provide an overview of advanced robotic technologies within the context of Postal Automation services. The main functional requirements of the application are briefly referred, as well as the state of the art and new emerging solutions. Image Processing and Pattern Recognition have always played a fundamental role in Address Interpretation and Mail sorting and the new challenging objective is now off-line handwritten cursive recognition, in order to be able to handle all kind of addresses in a uniform way. On the other hand, advanced electromechanical and robotic solutions are extremely important to solve the problems of mail storage, transportation and distribution, as well as for material handling and logistics. Finally a short description of new services of Postal Automation is referred, by considering new emerging services of hybrid mail and paper to electronic conversion.

scholarly journals The design of Lil’Flo, a socially assistive robot for upper extremity motor assessment and rehabilitation in the community via telepresence

2021 ◽  
Vol 8 ◽  
pp. 205566832110018
Author(s):  
Michael J Sobrepera ◽  
Vera G Lee ◽  
Michelle J Johnson
Keyword(s):  
Rural Areas ◽  
Motor Rehabilitation ◽  
Rehabilitation Care ◽  
Rehabilitation Professionals ◽  
Novel Approach ◽  
Assistive Robot ◽  
Care Facilities ◽  
The Rich ◽  
Socially Assistive Robot ◽  
Assistive Robotic

Introduction We present Lil’Flo, a socially assistive robotic telerehabilitation system for deployment in the community. As shortages in rehabilitation professionals increase, especially in rural areas, there is a growing need to deliver care in the communities where patients live, work, learn, and play. Traditional telepresence, while useful, fails to deliver the rich interactions and data needed for motor rehabilitation and assessment. Methods We designed Lil’Flo, targeted towards pediatric patients with cerebral palsy and brachial plexus injuries using results from prior usability studies. The system combines traditional telepresence and computer vision with a humanoid, who can play games with patients and guide them in a present and engaging way under the supervision of a remote clinician. We surveyed 13 rehabilitation clinicians in a virtual usability test to evaluate the system. Results The system is more portable, extensible, and cheaper than our prior iteration, with an expressive humanoid. The virtual usability testing shows that clinicians believe Lil’Flo could be deployed in rural and elder care facilities and is more capable of remote stretching, strength building, and motor assessments than traditional video only telepresence. Conclusions Lil’Flo represents a novel approach to delivering rehabilitation care in the community while maintaining the clinician-patient connection.

Data normalization for training and analysis of the MaskRCNN model using the k-means method for computer vision of smart refrigerator

2021 ◽  
Vol 4 ◽  
pp. 74-80
Author(s):  
M. G. Dorrer ◽  
◽  
A.E. Alekhina ◽  
Keyword(s):  
Computer Vision ◽  
Semantic Segmentation ◽  
Correct Choice ◽  
Training Sample ◽  
Artificial Vision ◽  
K Value ◽  
High K ◽  
Real World Datasets ◽  
Segmentation Problem

This paper proposes using the k-means method for the controlled adjustment of the training sample for semantic image segmentation in the artificial vision of a smart refrigerator. To solve this problem, a new two-stage architecture for computer vision is proposed. In the proposed architecture, various sets of settings for optimizing the contrast of images are used to classify pixels according to their belonging to fragments of the studied image. Extensive experimental evaluation shows that the proposed method has critical advantages over existing work. Firstly, the obtained pixel classes can be directly clustered into semantic groups using k-means. Secondly, the method can be used for additional training of artificial intelligence in solving the semantic segmentation problem. The developers propose an approach to the correct choice of the number k of centroids to obtain good quality clusters, which is difficult to determine at a high k value. To overcome the problem of initializing the k-means method, an incremental k-means clustering method is proposed, which improves the quality of clusters to reduce the sum of squared errors. Comprehensive experiments have been carried out compared to the traditional k-means algorithm and its new versions to evaluate the performance of the proposed method on synthetically generated datasets and some real-world datasets.

Designing an Expressive Head for a Help Requesting Socially Assistive Robot

2020 ◽  
pp. 88-102
Author(s):  
Tim van der Grinten ◽  
Steffen Müller ◽  
Martin Westhoven ◽  
Sascha Wischniewski ◽  
Andrea Scheidig ◽  
...  
Keyword(s):  
Assistive Robot ◽  
Socially Assistive Robot
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