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A Survey on Big Five Personality Traits Prediction Using Tensorflow

Manisha Nilugonda, Dr. Karanam Madhavi, S. Tummala, S. Kosaraju, P. Bobba, S. Singh
2020 E3S Web of Conferences  
Finally, the graph provides a comparison between various detection of big five personality traits on facial expressions.  ...  of physical diseases with personality shift symptoms.  ...  Fully Automatic Facial Action Unit Detection and Temporal Analysis (FAUDT) Each video has a much shorter duration.  ... 
doi:10.1051/e3sconf/202018401053 fatcat:ngc7yh2en5a3fprtkmqimialiq

Virtual human representation and communication in VLNet

T.K. Capin, H. Noser, D. Thalmann, I. Sunday Pandzic, N.M. Thalmann
1997 IEEE Computer Graphics and Applications  
This representation includes s a visual embodiment of the user, s a means of interacting with the world, and s a means of feeling various attributes of the world using the senses.  ...  We would also like to thank Mireille Clavien for some of the designs, Eric Chauvineau for deformable body implementation, and Ronan Boulic for his walking model.  ...  We are grateful to Patrick Keller for his remarkable help in designing the VLNet scenes and producing images.  ... 
doi:10.1109/38.574680 fatcat:yt5stbagyjevnl23xxkyforp7a

Graph-based Facial Affect Analysis: A Review [article]

Yang Liu, Xingming Zhang, Yante Li, Jinzhao Zhou, Xin Li, Guoying Zhao
2022 arXiv   pre-print
Early methods focus on extracting appearance and geometry features associated with human affects while ignoring the latent semantic information among individual facial changes, leading to limited performance  ...  As one of the most important affective signals, facial affect analysis (FAA) is essential for developing human-computer interaction systems.  ...  ACKNOWLEDGMENTS The authors would like to thank Muzammil Behzad and Tuomas Varanka for providing materials and suggestions for the figures used in this paper.  ... 
arXiv:2103.15599v6 fatcat:o2r6wi7qtzdcnbhicm45yvclzy


2022 Zenodo  
Several strategies have been explored and analyses in order to determine the best technique for detecting driver tiredness with the highest accuracy.  ...  Bad lighting can make it difficult for the camera to precisely measure the driver's face and eye. Due to late detection or no detection, this will have an impact on image processing analysis.  ...  Once the drowsiness is detected, it sends the message via Controller Area Network (CAN) to the second subsystem; the Dashboard unit. This system cautions and alerts the driver.  ... 
doi:10.5281/zenodo.6686504 fatcat:q6yegv62ezamfi4d564lbfhmfy

Papers by Title

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
to Wi-Fi Signals Vehicle Turning Intention Prediction Based on Data-Driven Method with Roadside Radar and Vision Sensor Velocity Prediction for MIDI Notes with Deep Learning Voice Activity Detection by  ...  Fitness Application based on Realtime Image Detection Design and Implement a Smart Umbrella Stand System with Instant Message Application Design and Implementation of Intelligent Identification System  ... 
doi:10.1109/icce-tw52618.2021.9602951 fatcat:x5phgfzzl5cafcxul53thv5w7e

MPEG-4: Audio/video and synthetic graphics/audio for mixed media

Peter K. Doenges, Tolga K. Capin, Fabio Lavagetto, Joern Ostermann, Igor S. Pandzic, Eric D. Petajan
1997 Signal processing. Image communication  
MPEG-4 addresses coding of digital hybrids of natural and synthetic, Aural and Visual (A/V) information.  ...  This approach can lower bandwidth of mixed media, offer tradeoffs in quality vs. update for specific terminals, and foster varied distribution methods for content that exploit spatial and temporal coherence  ...  This HSTTS could be driven by live text streams in the target language with language-focused decoder algorithms. Hybrid Scalable Text-To-Speech coding can be synchronized with synthetic models.  ... 
doi:10.1016/s0923-5965(97)00007-6 fatcat:miw7fareavhbjkjfl7ntjgmoqa

Theta phase coding in a network model of the entorhinal cortex layer II with entorhinal-hippocampal loop connections

Jun Igarashi, Hatsuo Hayashi, Katsumi Tateno
2006 Cognitive Neurodynamics  
To realize a practical system, we adopt a parallel architecture integrating both recognition and retraining processes for seamless object recognition, and furthermore detect and cope with the deterioration  ...  One approach for reducing number of support vectors is to formulate SVM with a non-convex loss function.  ...  Acknowledgements This work was supported by a Grant-in-Aid for Science Research in a Priority Area "Super-Hierarchical Structures" from the Ministry of Education, Culture, Sports, Science and Technology  ... 
doi:10.1007/s11571-006-9003-8 pmid:19003510 pmcid:PMC2267667 fatcat:avihqfr6a5e7tm43lythi27n3a

Johnny: An Autonomous Service Robot for Domestic Environments

Thomas Breuer, Geovanny R. Giorgana Macedo, Ronny Hartanto, Nico Hochgeschwender, Dirk Holz, Frederik Hegger, Zha Jin, Christian Müller, Jan Paulus, Michael Reckhaus, José Antonio Álvarez Ruiz, Paul G. Plöger (+1 others)
2011 Journal of Intelligent and Robotic Systems  
In this article we describe the architecture, algorithms and real-world benchmarks performed by Johnny Jackanapes, an autonomous service robot for domestic environments.  ...  We present a control architecture which allows to cope with various and changing domestic service robot tasks.  ...  The drive unit used for locomotion uses a differential drive with two actively driven wheels, powered by two 150W motors, and two caster wheels to enhance rotating and stability under load.  ... 
doi:10.1007/s10846-011-9608-y fatcat:caa3tvz53nagvdso5l7lajbteq

Multi-Order Networks for Action Unit Detection [article]

Gauthier Tallec, Arnaud Dapogny, Kevin Bailly
2022 arXiv   pre-print
Finally, we demonstrate that MONET significantly extends state-of-the-art performance in Facial Action Unit detection.  ...  Most importantly, this sequence ordering choice has been identified as a critical source of performance variations.  ...  Facial Action Unit Detection : Action Units are relatively short events.  ... 
arXiv:2202.00446v1 fatcat:soagz4ewujd4thgxxlx3apbp5u

Computer Mediated Automatic Detection of Pain-Related Behavior: Prospect, Progress, Perils

Kenneth M. Prkachin, Zakia Hammal
2021 Frontiers in Pain Research  
An abundant literature shows that a limited subset of facial actions, with homologs in several non-human species, encode pain intensity across the lifespan.  ...  Pain is often characterized as a fundamentally subjective phenomenon; however, all pain assessment reduces the experience to observables, with strengths and limitations.  ...  With respect to detecting facial action units by available pre-trained algorithms, there was no difference between independent-living seniors and those with dementia, possibly because the algorithms performed  ... 
doi:10.3389/fpain.2021.788606 pmid:35174358 pmcid:PMC8846566 fatcat:tx7dgcdmbzgirkvh2nk4qp5g4u

Simulation Meets Hollywood [chapter]

W. Swartout, J. Gratch, R. Hill, E. Hovy, R. Lindheim, S. Marsella, J. Rickel, D. Traum
2005 Text, Speech and Language Technology  
The Institute for Creative Technologies was created at the University of Southern California with the goal of bringing together researchers in simulation technology to collaborate with people from the  ...  about world events and respond appropriately to the trainee's actions or commands.  ...  In the first pass, each noun phrase unit is realized as a variety of alternatives. As described later, units with the most appropriate emotional connotations are selected.  ... 
doi:10.1007/1-4020-3051-7_13 fatcat:4a7n5ptuhfg6hfzuoixgtcvfzq

Emotion recognition in human-computer interaction

R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, W. Fellenz, J.G. Taylor
2001 IEEE Signal Processing Magazine  
Acknowledgment This work has been supported by the Training Mobility and Research project "PHYSTA: Principled Hybrid systems: Theory and Applications," 1998-2001, contract FMRX-CT97-0098 (EC DG 12). and  ...  directs people strongly towards a course of action driven by the emotion.  ...  As some muscles give rise to more than one action unit, correspondence between action units and muscle units is only approximate.  ... 
doi:10.1109/79.911197 fatcat:mnivent4gbdfzg2axmvjzlkq64

Deep Learning Application Pros And Cons Over Algorithm

Ata Jahangir Moshayedi, Atanu Shuvam Roy, Amin Kolahdooz, Yang Shuxin
2022 EAI Endorsed Transactions on AI and Robotics  
The main target of this review is to give the summarize points for scholars to have the analysis about applications and algorithms.  ...  field of application, such as voice recognition, chat robots, search technology and vision; and (3) deep learning can have a significant impact on the application domain and benefit from recent research with  ...  These application domain units are changing with each passing day, and a large number of the latest skill domain units have also joined these technologies.  ... 
doi:10.4108/airo.v1i.19 fatcat:wmfb5cjayngmzdrv6git4o3pce

Spatio-Temporal Pattern Representation from AI Inspired Brain Model in Spiking Neural Network

2021 Biointerface Research in Applied Chemistry  
The perceived environment and resultant behavior response allow us to study body interaction with the environment.  ...  Acknowledgments The authors would like to acknowledge the Chitkara University Research & Innovation Network (CURIN) for offering computational facilities in their laboratory.  ...  ROS messages are a data type used to subscribe or publish to a topic. Nodes can publish and subscribe messages to a topic to perform two-way communication.  ... 
doi:10.33263/briac125.66186631 fatcat:54y7ajxwfzgndn43uaxqjag7he

Vulnerable Road Users and Connected Autonomous Vehicles Interaction: A Survey

Angélica Reyes-Muñoz, Juan Guerrero-Ibáñez
2022 Sensors  
Autonomous vehicles are being visualized as a viable alternative to solve road accidents providing a general safe environment for all the users on the road specifically to the most vulnerable.  ...  Non-linear methods are based on data driven algorithms [179] . According to [180] , data-driven methods using neural networks perform better than traditional methods.  ...  To process the information, cameras will have a software architecture that combines conventional image-processing algorithms with AI-driven methods and embedded it on a high-performance system-on-chip  ... 
doi:10.3390/s22124614 pmid:35746397 pmcid:PMC9229412 fatcat:kfcgpqtlsvff3ks2turfpnfrom
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