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Human Action Recognition from Various Data Modalities: A Review [article]

Zehua Sun, Qiuhong Ke, Hossein Rahmani, Mohammed Bennamoun, Gang Wang, Jun Liu
2021 arXiv   pre-print
Human Action Recognition (HAR) aims to understand human behavior and assign a label to each action.  ...  Human actions can be represented using various data modalities, such as RGB, skeleton, depth, infrared, point cloud, event stream, audio, acceleration, radar, and WiFi signal, which encode different sources  ...  DISCUSSION In the previous sections, we review the methods and datasets for HAR with various data modalities.  ... 
arXiv:2012.11866v4 fatcat:twjnaur2jzahznci6clkadylay

Visual Methods for Sign Language Recognition: A Modality-Based Review [article]

Bassem Seddik, Najoua Essoukri Ben Amara
2020 arXiv   pre-print
Recent advances in human actions recognition are exploiting the ascension of GPU-based learning from massive data, and are getting closer to human-like performances.  ...  A population that is expected to grow considerably in the years to come. This paper aims at reviewing the human actions recognition literature with the sign-language visual understanding as a scope.  ...  Language Recognition: A Modality-Based Review Visual Methods for Sign Language Recognition: A Modality-Based Review Visual Methods for Sign Language Recognition: A Modality-Based Review  ... 
arXiv:2009.10370v1 fatcat:jkqtzid6qndhnijs5axhfom4ia

Multi Modal Biometric System: A Review on Recognition Method

Dr. Gandhimathi Amirthalingam, Saranya Subramaniam
2017 International Journal of Engineering Research and  
Literature reviews of the most recent multimodal biometric human recognition techniques are presented.  ...  In this Review paper, it is intended to summarize and compare the biometric recognition for human identification.  ...  Behavioural biometrics is based on data derived from an action taken by a person or individuals behavioral traits.  ... 
doi:10.17577/ijertv6is050102 fatcat:z3u632ry5fgbbfcivesokd7ttu

Cross-Modal Integration for Performance Improving in Multimedia: A Review [chapter]

Petros Maragos, Patrick Gros, Athanassios Katsamanis, George Papandreou
2008 Multimodal Processing and Interaction  
Humans perceive the natural world in a multimodal way: vision, hearing, touch. Nowadays, propelled by our digital technology, we are also witnessing a rapid explosion of digital multimedia data.  ...  Another reason is that the problem of fusing the modalities has not still reached maturity, both from a mathematical modeling and a computational viewpoint.  ...  Among the features of this chapter, we include brief reviews of ideas and results from cross-modal integration in human perception, since the multimodal human brain is a great source of inspiration.  ... 
doi:10.1007/978-0-387-76316-3_1 fatcat:ymz4ilxvzfgutizs5dbcrszynm

A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets [article]

Dr. M. Madhiarasan, Prof. Partha Pratim Roy
2022 arXiv   pre-print
We study related works about manual and non-manual, various modalities, and datasets. Research progress and existing state-of-the-art SLR models over the past decade have been reviewed.  ...  Sign Language Recognition (SLR) is a fascinating research area and a crucial task concerning computer vision and pattern recognition.  ...  With this motivation, this review paper studied different types of SLR, various sensing approaches, modalities, and various SLR datasets and listed out the issues of SLR and the future direction of SLR  ... 
arXiv:2204.03328v1 fatcat:72kb7zz5xfaqxa2l5sz22drrwi

Multi-Modal Sensing Techniques for Interfacing Hand Prostheses: A Review

Yinfeng Fang, Nalinda Hettiarachchi, Dalin Zhou, Honghai Liu
2015 IEEE Sensors Journal  
Multi-modal sensory fusion provides a new strategy in this area, and the latest multi-modal sensing techniques are surveyed.  ...  This paper provides a comprehensive survey of current state of the bio-sensing technologies focusing on hand motion capturing and its application to interfacing hand prostheses.  ...  incorporated the knowledge beyond the training condition to the classifiers from the testing data.  ... 
doi:10.1109/jsen.2015.2450211 fatcat:3dnyesg4xbcqrlmbe3iadcnesm

Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain

Min S. Hane Aung, Faisal Alquaddoomi, Cheng-Kang Hsieh, Mashfiqui Rabbi, Longqi Yang, J. P. Pollak, Deborah Estrin, Tanzeem Choudhury
2016 IEEE Journal on Selected Topics in Signal Processing  
We present a consolidated discussion on the leveraging of various sensing modalities along with modular server-side and on-device architectures required for this task.  ...  We review examples that deliver actionable information to clinicians and patients while addressing privacy, usability, and computational constraints.  ...  In principle this can applied to data from any modality or combination of modalities as long as this is consistent between tasks.  ... 
doi:10.1109/jstsp.2016.2565381 pmid:30906495 pmcid:PMC6430587 fatcat:vxvj3c23bngnbntwrk3pev5cpq

A review of treatment modalities for Middle East Respiratory Syndrome

Yin Mo, Dale Fisher
2016 Journal of Antimicrobial Chemotherapy  
When a case does occur there is likely little time for a critical appraisal of the literature and putative pharmacological options.  ...  Healthcare facilities in 27 countries from most continents have experienced imported cases, with the most significant outbreak involving 186 cases in Korea.  ...  as a treatment modality for MERS for their ability to augment host response.  ... 
doi:10.1093/jac/dkw338 pmid:27585965 fatcat:2l5x4tphubdj5gysp3sqax4pxe

A Cross-modal Review of Indicators for Depression Detection Systems

Michelle Morales, Stefan Scherer, Rivka Levitan
2017 Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology –- From Linguistic Signal to Clinical Reality  
This paper surveys these efforts by presenting the first cross-modal review of depression detection systems and discusses best practices and most promising approaches to this task.  ...  As a result, promising depression detection systems have been reported.  ...  This section provides a review of each modality highlighting markers that have had success in systems.  ... 
doi:10.18653/v1/w17-3101 dblp:conf/acl-clpsych/MoralesSL17 fatcat:ern3d56epraobnmryo5f2br3e4

Taste of Fat: A Sixth Taste Modality?

Philippe Besnard, Patricia Passilly-Degrace, Naim A. Khan
2016 Physiological Reviews  
After a short overview of the gustatory pathway, this review brings together the key findings consistent with the existence of a sixth taste modality devoted to the perception of lipids.  ...  An attraction for palatable foods rich in lipids is shared by rodents and humans.  ...  Therefore, DRK channels might play the role of a "taste modulator," reinforcing the perception of various taste modalities.  ... 
doi:10.1152/physrev.00002.2015 pmid:26631596 fatcat:rrvcbpspcfh4pfrbukzs4qzifa

Modality Compensation Network: Cross-Modal Adaptation for Action Recognition [article]

Sijie Song, Jiaying Liu, Yanghao Li, Zongming Guo
2020 arXiv   pre-print
With the prevalence of RGB-D cameras, multi-modal video data have become more available for human action recognition.  ...  In this work, we propose a Modality Compensation Network (MCN) to explore the relationships of different modalities, and boost the representations for human action recognition.  ...  As a high-level representation of human motion, biological observations have suggested that humans can recognize actions from skeleton data [9] .  ... 
arXiv:2001.11657v1 fatcat:xcmed5yqx5bwrjpqzxsyguo7ga

Non-Invasive Brain-Computer Interface Technology (BCI) Modalities and Implementation: A Review Article and Assimilation of BCI Models

Dalia Mirghani Mahmoud Saadabi
2021 Annals of Advanced Biomedical Sciences  
Then some features will be extracted from the EEG and sent to a classifier, whose response is translated features into some action whose execution provides feedback to the user.  ...  This review first highlights the different and most frequently used methods for implementing brain-computer interface (BCI) systems with a focus on non-invasive BCI models.  ...  A lot of researchers defined Brain-Computer Interface technology (BCI) as a communication pathway that the signals take to transfer from the human brain to execute an action in an output device [3] [4  ... 
doi:10.23880/aabsc-16000166 fatcat:eppxczdczjfohksfighll7wdga

Social Humanoid Robots for Children with Autism Spectrum Disorders: A Review of Modalities, Indications, and Pitfalls

Alfio Puglisi, Tindara Caprì, Loris Pignolo, Stefania Gismondo, Paola Chilà, Roberta Minutoli, Flavia Marino, Chiara Failla, Antonino Andrea Arnao, Gennaro Tartarisco, Antonio Cerasa, Giovanni Pioggia
2022 Children  
This type of treatment consists of a human-assisted social robot acting as an intervention mediator to increase competence and skills in children with ASD.  ...  Robot-assisted therapy (RAT) is a promising area of translational neuroscience for children with autism spectrum disorders (ASDs).  ...  Institutional Review Board Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/children9070953 pmid:35883937 pmcid:PMC9316169 fatcat:m2kx263wlvbizpk335zhda3egy

Challenges in Multi-modal Gesture Recognition [chapter]

Sergio Escalera, Vassilis Athitsos, Isabelle Guyon
2017 Gesture Recognition  
We also overview recent state of the art works on gesture recognition based on a proposed taxonomy for gesture recognition, discussing challenges and future lines of research.  ...  using multimodal data in this area of application.  ...  We thank our co-organizers of ChaLearn gesture and action recognition challenges: Miguel Reyes, Jordi Gonzalez, Xavier Baro, Jamie Shotton, Victor Ponce, Miguel Angel Bautista, and Hugo Jair Escalante.  ... 
doi:10.1007/978-3-319-57021-1_1 fatcat:vfeijghqtvffllogw2tium3pwa

Emotion recognition from multi-modal information

Chung-Hsien Wu, Jen-Chun Lin, Wen-Li Wei, Kuan-Chun Cheng
2013 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference  
A variety of theoretical background and applications ranging from salient emotional features, emotionalcognitive models, to multi-modal data fusion strategies is surveyed for emotion recognition on these  ...  In this paper, we presents a survey on theoretical and practical work offering new and broad views of the latest research in emotion recognition from multi-modal information including facial and vocal  ...  Hence, constructing an emotion recognition system from multi-modal information is desirable.  ... 
doi:10.1109/apsipa.2013.6694347 dblp:conf/apsipa/WuLWC13 fatcat:mnewdisdhfhq7b376ntz5bb5wm
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