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Automated Modelling of Masonry Walls: a ML and AR Approach
[chapter]
2021
Representation Challenges. Augmented Reality and Artificial Intelligence in Cultural Heritage and Innovative Design Domain
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The implementation of the process is tested on a video sequence to simulate an augmented reality application for masonry detection. ...
Python environment is chosen for the coding activity in order to provide automation to the process. ...
An effective delineation of horizontal rows is obtained with robust outcomes on several frames of the video stream. ...
doi:10.3280/oa-686.29
fatcat:6bw24tkye5dlxkqv7grorynaeu
Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data
2021
IEEE Transactions on Affective Computing
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Chen and Epps propose an event-based behavior modelling, based on wearable devices, to recognize task load level on a temporally longitudinal task. ...
Principi, Palmero, Jacques Junior and Escalera present an interesting study where they identify different subjective bias on an apparent personality analysis task. ...
He worked on machine-learning and computer vision models for automated analysis of human facial behavior with Imperial College London. ...
doi:10.1109/taffc.2021.3079535
fatcat:c6ktm46rkbgptffenogw3pagwe
Detecting Drowsy Learners at the Wheel of e-Learning Platforms with Multimodal Learning Analytics
2021
IEEE Access
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First, we clustered features based on learners' wakefulness labels as generated by human raters and ran a statistical analysis. ...
We achieved an average macro-F1 score of 0.82 in automated user-dependent models with CatBoost. ...
analysis in a video-based online learning context [19] . ...
doi:10.1109/access.2021.3104805
fatcat:nkmz62lle5de5ph3mlnnn7dmne
Towards Automated Video Analysis of Sensorimotor Assessment Data
english
2014
Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods
english
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Each session is recorded so that the psychomotrician can use the video as a support for reviewing in-session impressions and drawing final conclusions. ...
It relies on playful activities which are proposed by a psychomotrician expert to the child, with the intent of observing how the latter responds to various physical and cognitive stimuli. ...
ACKNOWLEDGEMENTS The videos used in this study were acquired with the informed consent of the parents, who agreed to the use of the data for educational and research purposes. Ana B. G. ...
doi:10.5220/0004912307350740
dblp:conf/icpram/FouquierDBK14
fatcat:twl5yof3r5e6djvsecamzkt5ge
When Human Coders (and Machines) Disagree on the Meaning of Facial Affect in Spontaneous Videos
[chapter]
2009
Lecture Notes in Computer Science
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We then present an alternative labeling approach, which closely models how the majority of automated facial analysis systems are designed. ...
This paper describes the challenges of getting ground truth affective labels for spontaneous video, and presents implications for systems such as virtual agents that have automated facial analysis capabilities ...
Building an automated system that recognizes spontaneous facial expressions remains a challenging endeavor: human facial muscle activations can occur in over twenty thousand combinations and there is no ...
doi:10.1007/978-3-642-04380-2_37
fatcat:2p6y72g3cjglfcxjcn54b4iwgi
Student behavior analysis to measure engagement levels in online learning environments
2021
Signal, Image and Video Processing
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The challenge that researchers face is how to measure student engagement based on their emotions. ...
In fact, we build new and realistic student engagement datasets to validate our contributions. ...
Based on the multimodal approach, the engagement level detection provided more accurate results than dual and single modalities. ...
doi:10.1007/s11760-021-01869-7
pmid:34007342
pmcid:PMC8119613
fatcat:3mwqszh3tjdfhp2aycdgiymfby
A Study on Automatic Attention Span Detection of Students
2021
International Journal for Research in Applied Science and Engineering Technology
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The ensemble comprises three cluster-based conventional models and one attention-based neural network model(bi-directional LSTM), boosted with heuristic posture-based rules(like hand fidgeting and body ...
The proposed agent in this paper [6] uses an ensemble of four models to track student engagement. ...
Therefore, it is vital to design and develop automated engagement tracking methods based on rapidly evolving computer vision (CV) and machine learning (ML) technologies.
B. ...
doi:10.22214/ijraset.2021.34707
fatcat:e6f4eun6ujbtzaglmie3b7ho4u
It's Written on Your Face: Detecting Affective States from Facial Expressions while Learning Computer Programming
[chapter]
2014
Lecture Notes in Computer Science
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We built detectors capable of automatically recognizing affective states of novice computer programmers from student-annotated videos of their faces recorded during an introductory programming tutoring ...
We used the Computer Expression Recognition Toolbox (CERT) to track facial features based on the Facial Action Coding System, and machine learning techniques to build classification models. ...
[5] used multimodal data channels including facial features from video to predict Frustration in an automated learning companion. ...
doi:10.1007/978-3-319-07221-0_5
fatcat:tbjs3nkr4ncl3goqif6ktpoq3e
AI technologies: A key to unlock the door of Omni-channel capabilities
2020
International journal of modern trends in science and technology
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This paper also explores the different AI technologies which can be used by retailer to manage the supply chain, data and their engagement with customers. ...
Detection: Locates and detects human faces inimages and videos. Capture: Conversion of analog information (aface) into digital information (data) based on theperson's facial features takes place. ...
III Positive and Negative of Speech Recognition TechnologyImage Recognition: This technology identifies and detects an object in a digital image or video. ...
doi:10.46501/ijmtst0609s17
fatcat:ribfcosjtbfqjigkj2v476epni
Student destraction detection Project Thesis.pdf
2021
figshare.com
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The objective of this Project was to build an automatic system that allowed the faculties to capture and make a summary of student behaviors and detect student weather attentive or distracted in the VLE ...
We combine information about the movements of the eyes and head, and facial emotions to produce a concentration index with three classes of engagement: "very engaged", "nominally engaged" and "not engaged ...
Recently, plenty of methods have been proposed to build video-level representations based on CNN features. ...
doi:10.6084/m9.figshare.14130023.v1
fatcat:ednzq3ijrvbqfanofphdh4vyyq
Future Vision of Interactive and Intelligent TV Systems using Edge AI
2020
SET INTERNATIONAL JOURNAL OF BROADCAST ENGINEERING
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This paper presents TeleMídia Lab's future vision on interactive and intelligent TV Systems, with particular focus on edge AI. ...
One of the new features to be addressed by this future application layer is the use of Artificial Intelligence technologies. ...
Media Analysis Methods based on Deep Learning (DL) became the stateof-the-art in various segments related to automatic media analysis. ...
doi:10.18580/setijbe.2020.4
fatcat:crbczniv3zaypmnfc7r7jntpsu
Building Automation and the Contextualization of Information Technology: The Journey of a Midwestern Community College in the U.S
2018
Journal of Education and Training Studies
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around the context of building automation systems (BAS). ...
The research-based approach, activities, and outcomes of this project are all described here, as well as the lessons learned by one community college seeking to make their IT program increasingly relevant ...
Acknowledgements The authors would like to acknowledge the three years of funding and support from the National Science Foundation's Advanced Technical Education program, which funded the Automate Project ...
doi:10.11114/jets.v6i2.2959
fatcat:zt2qmh47rbcftjz5xblwf3pw6y
Robust Modeling of Epistemic Mental States
[article]
2020
arXiv
pre-print
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This work identifies and advances some research challenges in the analysis of facial features and their temporal dynamics with epistemic mental states in dyadic conversations. ...
Then, we propose a novel prediction framework that takes facial features and their nonlinear relation scores as input and predict different epistemic states in videos. ...
Then, we reported our observations and key findings followed by a proposition of a new framework based on our observations. At the end, the paper reports the performance of the proposed framework. ...
arXiv:2005.13982v1
fatcat:wg6h4tetpbbchebzwp5g6u4q3y
A Low Cost Outdoor Service Robot
2017
Advances in Robotics & Automation
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Based on our design and study, we reflect on the future of low cost service robots for outdoor and indoor activities. Figure 1: Photo of Nokovic the service robot engaging outdoors. ...
To provide service robots to everyone, everywhere, we present Nokovic, a low cost service robot built with recycled parts based on FPGA and radio frequency control that recognizes outdoor and indoor human ...
After we have a more clean video image, we perform connected component analysis on the corresponding binarized filtered image and are able to obtain the blobs (i.e., the parts of the video where humans ...
doi:10.4172/2168-9695.1000168
fatcat:eyjd2tmlrfcafiwfchcdz6p3hi
Application of Audio and Video Processing Methods for Language Research and Documentation: The AVATecH Project
[chapter]
2014
Lecture Notes in Computer Science
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Since creating those annotations is a very laborious task, reaching times 100 longer than the length of the annotated media, innovative video processing algorithms are needed, in order to improve the efficiency ...
addressed by employing an HMM-based speech recognizer. ...
It is mainly based on an optimization scheme for a selected range of U and V values in the YUV domain that belongs to human skin colour. ...
doi:10.1007/978-3-319-14120-6_24
fatcat:fdnkdvvvpbfu7oh2xrsebt5clu
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