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Using robust audio and video processing technologies to alleviate the elderly cognitive decline

Vasileios Mylonakis, John Soldatos, Aristodemos Pnevmatikakis, Lazaros Polymenakos, Alex Sorin, Hagai Aronowitz
2008 Proceedings of the 1st ACM international conference on PErvasive Technologies Related to Assistive Environments - PETRA '08  
We emphasize on technologies such as automatic speech recognition, speaker identification, face detection, person tracking, face identification, and demonstrate how mature versions of these technologies  ...  In this paper we present a number of leading edge audio and video processing technologies, which can be exploited to build robust ambient assisted living applications for elderly groups.  ...  The robust emotion detection challenge can be handled in the context of AAL system by development of speaker dependent emotion recognition, given that the majority of the speakers are known in terms of  ... 
doi:10.1145/1389586.1389620 dblp:conf/petra/MylonakisSPPSA08 fatcat:s53kehbdjvc3vjkjk6vvoh5rky

Literature review on wireless sensing-Wi-Fi signal-based recognition of human activities

Chao Wang, Siwen Chen, Yanwei Yang, Feng Hu, Fugang Liu, Jie Wu
2018 Tsinghua Science and Technology  
signs detection, imaging, and emotional recognition by extracting effective feature information about human actions from Wi-Fi signals.  ...  Therefore, a novel wireless sensing technology is gradually emerging that can realize gesture recognition, human daily activity detection, identification, indoor localization and human body tracking, vital  ...  , vital sign detection, indoor localization, imaging, and emotional recognition.  ... 
doi:10.26599/tst.2018.9010080 fatcat:yakxrrsamzdtvpl5iddjsovvme

The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey

Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz
2022 Sensors  
Human activity recognition (HAR) has become an intensive research topic in the past decade because of the pervasive user scenarios and the overwhelming development of advanced algorithms and novel sensing  ...  This work tries to present a thorough, in-depth survey on the state-of-the-art sensing modalities in HAR tasks to supply a solid understanding of the variant sensing principles for younger researchers  ...  Ordinary everyday used furniture made of wood and textile will not deform the distribution of the activated field.  ... 
doi:10.3390/s22124596 pmid:35746376 pmcid:PMC9229953 fatcat:2cjpolwafnem7o4mehxigaqojq

Paper Titles

2019 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)  
HSR Wireless Network Handover Mechanism for QoS Improvement on Control Plane Robust Detection and Recognition of Japanese Traffic Sign in the Complex Scenes Based on Deep Learning Robust Reflection Removal  ...  Data Recovery Scheme Efficient Implementation of Non-Local Means Image Denoising Algorithm Emotion Analysis of Twitter Users on Natural Disasters Emotion Estimation by Joint Facial Expression and Speech  ... 
doi:10.1109/gcce46687.2019.9015409 fatcat:6k3r6jixrvglrkrkzek636gb54

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Yang, X., +, TMM 2021 4326-4340 Distortion measurement Measuring Coarse-to-Fine Texture and Geometric Distortions for Quality Assessment of DIBR-Synthesized Images.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning

Stanisław Saganowski
2022 Electronics  
Bringing emotion recognition (ER) out of the controlled laboratory setup into everyday life can enable applications targeted at a broader population, e.g., helping people with psychological disorders,  ...  In particular, the commercially available sensors collecting physiological data, signal processing techniques, and deep learning architectures used to predict emotions are discussed.  ...  (a) The interdisciplinary background of emotion recognition; (b)modalities used to recognize emotions.  ... 
doi:10.3390/electronics11030496 fatcat:pagrnyshp5fq7nkcdcqd2gzdbm

Machine-Vision-Based Human-Oriented Mobile Robots: A Review

Miha Finžgar, Primož Podržaj
2017 Strojniski vestnik  
In this paper we present a study of vision-based, human-recognition solutions in human-oriented, mobile-robot applications. Human recognition is composed of detection, tracking and identification.  ...  Regardless of the method or the type of sensor chosen, the best results in human recognition can be obtained by using a multimodal solution.  ...  A particle filter might offer the best results in comparison to the Lucas-Kanade and CamShift approaches due to its non-parametricity and robustness to background colour distribution and movements in the  ... 
doi:10.5545/sv-jme.2017.4324 fatcat:fotrvt6congvtktjn7iehsr2um

Eye Gaze Techniques for Human Computer Interaction: A Research Survey

Anjana Sharma, Pawanesh Abrol
2013 International Journal of Computer Applications  
In this paper an extensive research survey has been carried out to understand and analyze the study of various eye gaze techniques, algorithms and models.  ...  Eye detection is being used in many real time and interactive high end applications. These include the tracking and analyzing of driver"s behaviour with the head pose detection.  ...  Emotion recognition helps in finding out the real emotion or feelings of the user like anger, happiness, sadness etc.  ... 
doi:10.5120/12386-8738 fatcat:3yheb75eqngxnev57rvgjwkndy

Respiration and Activity Detection based on Passive Radio Sensing in Home Environments

Qingchao Chen, Yang Liu, Bo Tan, Karl Woodbridge, Kevin Chetty
2020 IEEE Access  
The increasing use of these unplanned connected sensors has led to a pell-mell of radio bursts which limit the capacity and robustness of communication channels to deliver data, whilst also increasing  ...  We use 2.4GHz 802.11 (WiFi) signals to demonstrate experimentally the capability of this technique for human respiration detection (including through-the-wall), and classifying everyday but complex human  ...  [31] and [32] as it offers a promising non-cooperative and non-invasive solution for indoor sensing.  ... 
doi:10.1109/access.2020.2966126 fatcat:x77vn2cp5zegtorhgz5iyhoeni

State of the Art of Audio- and Video-Based Solutions for AAL

Slavisa ALeksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Čartolovni, Pau Climent-Pérez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazım Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta (+27 others)
2022 Zenodo  
Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives.  ...  Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that  ...  Other indoor environments use non-visual systems for purposes different from ADL recognition, such as detect theft in museums or track and localize passive targets. • Multimodal sensor technology: this  ... 
doi:10.5281/zenodo.6390708 fatcat:6qfwqd2v2rhe5iuu5zgz77ay4i

Emotion Modelling for Social Robotics Applications: A Review

Filippo Cavallo, Francesco Semeraro, Laura Fiorini, Gergely Magyar, Peter Sinčák, Paolo Dario
2018 Journal of Bionic Engineering  
In this context, this paper aims to provide a general overview of recent attempts to enable robots to recognize human emotions and interact properly.  ...  This implies the need to consider a human-robot interaction from the beginning of the design; the possibility for a robot to recognize users' emotions and, in a certain way, to properly react and "behave  ...  [65] suggested that environmental sensors and use of the Internet surely could enhance the capability of robots to model context, and by that, to use emotion recognition more properly.  ... 
doi:10.1007/s42235-018-0015-y fatcat:psrg2hwhhbbnrkwrhqfmefv65q

A Novel Gesture Recognition System Based on CSI Extracted from a Smartphone with Nexmon Firmware

Tao Li, Chenqi Shi, Peihao Li, Pengpeng Chen
2020 Sensors  
Third, we use a new improved DTW algorithm to classify and recognize gestures.  ...  First, we use nexmon firmware to obtain 256 CSI subcarriers from the bottom layer of the smartphone in IEEE 802.11ac mode on 80 MHz bandwidth to realize the gesture recognition system's mobility.  ...  recognition; periodic detection screens out subcarriers that do not correspond to the number of peaks and the number of gestures; cross-correlation detection filters out subcarriers with high correlation  ... 
doi:10.3390/s21010222 pmid:33396425 fatcat:3ay5e6bb2netfj7hcqets4zgpi

The Information in Emotion Communication [article]

Alison Duncan Kerr, Kevin Scharp
2020 arXiv   pre-print
How much information is transmitted when animals use emotions to communicate? It is clear that emotions are used as communication systems in humans and other species.  ...  The theory explains myriad aspects of emotion communication and offers dozens of new directions for research.  ...  Acknowledgements For Nola, Pia, and Jasper. Immense joy. Thank you to our families for their unwavering support. And, to each other.  ... 
arXiv:2002.08470v1 fatcat:57wauv3s7nfcdb52bamge3jbsm


Seokmin Choi, Yang Gao, Yincheng Jin, Se jun Kim, Jiyang Li, Wenyao Xu, Zhanpeng Jin
2022 Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies  
Recognition of facial expressions has been widely explored to represent people's emotional states.  ...  We conducted an user study (N=20) using multimodal ResNet to evaluate the performance of PPGface, and showed that PPGface can detect different facial expressions with 93.5 accuracy and 0.93 fl-score.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1145/3534597 fatcat:yr5gsyozfzfzjnyqhlwaw2kmtm

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

Khaled Bayoudh, Raja Knani, Fayçal Hamdaoui, Abdellatif Mtibaa
2021 The Visual Computer  
In this paper, we seek to improve the understanding of key concepts and algorithms of deep multimodal learning for the computer vision community by exploring how to generate deep models that consider the  ...  The growing potential of multimodal data streams and deep learning algorithms has contributed to the increasing universality of deep multimodal learning.  ...  However, multi-object detection in both indoor and outdoor environments under varying environmental and lighting conditions remains one of the major challenges facing the computer vision community.  ... 
doi:10.1007/s00371-021-02166-7 pmid:34131356 pmcid:PMC8192112 fatcat:jojwyc6slnevzk7eaiutlmlgfe
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