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Improving Eye Motion Sequence Recognition Using Electrooculography Based on Context-Dependent HMM

Fuming Fang, Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa, Sadaoki Furui, Toshimitsu Musha
2016 Computational Intelligence and Neuroscience  
In this paper, we propose a context-dependent hidden Markov model- (HMM-) based EOG modeling approach that uses separate models for identical eye motions with different contexts.  ...  Additionally, we propose a method of user adaptation based on a user-independent EOG model to investigate the trade-off between recognition accuracy and the amount of user-dependent data required for HMM  ...  In this work, we improve HMM-based eye motion recognition to achieve higher recognition accuracy for continuous eye motion input.  ... 
doi:10.1155/2016/6898031 pmid:27774099 pmcid:PMC5059644 fatcat:5krbzlbumjdg5kvddmjxnbuuca

Electrooculography-based continuous eye-writing recognition system for efficient assistive communication systems

Fuming Fang, Takahiro Shinozaki, Stefano Federici
2018 PLoS ONE  
For recognition purposes, the proposed system first detects eye movements using electrooculography (EOG), and then a hidden Markov model (HMM) is applied to model the EOG signals and recognize the eye-written  ...  Additionally, this paper investigates an EOG adaptation that uses a deep neural network (DNN)-based HMM.  ...  Then, we modeled these motions using a context-dependent model.  ... 
doi:10.1371/journal.pone.0192684 pmid:29425248 pmcid:PMC5806888 fatcat:4pgo67ozubhlvgo6ttaxll3hpq

Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments

Andreas Bulling, Daniel Roggen, Gerhard Tröster
2009 Journal of Ambient Intelligence and Smart Environments  
We describe a novel embedded eye tracker that, in contrast to common systems using video cameras, relies on Electrooculography (EOG).  ...  In this article we introduce the analysis of eye motion as a new input modality for activity recognition, contextawareness and mobile HCI applications.  ...  context recognition based on eye motion.  ... 
doi:10.3233/ais-2009-0020 fatcat:mw46qmepqvbcriltnb3weu2n44

Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography [chapter]

Andreas Bulling, Jamie A. Ward, Hans Gellersen, Gerhard Tröster
2008 Lecture Notes in Computer Science  
In this work we analyse the eye movements of people in transit in an everyday environment using a wearable electrooculographic (EOG) system.  ...  variants of Hidden Markov Models (HMMs) -mixed Gaussian and discrete.  ...  Data synchronisation was handled using the Context Recognition Network (CRN) Toolbox (see [1] for details).  ... 
doi:10.1007/978-3-540-79576-6_2 fatcat:y56xvdvclfhivplnpn4ne7lc3e

Situation identification techniques in pervasive computing: A review

Juan Ye, Simon Dobson, Susan McKeever
2012 Pervasive and Mobile Computing  
We provide a comprehensive analysis of the nature and characteristics of situations, discuss the complexities of situation identification, and review the techniques that are most popularly used in modelling  ...  Eye movements captured in electrooculography signals are characterised into two types of features: saccades that are the simultaneous movement of both eyes in the same direction and fixations that are  ...  Bui et al. have extended HMMs to an abstract-HMM, who use a hierarchical structure for probabilistic plan recognition [106] .  ... 
doi:10.1016/j.pmcj.2011.01.004 fatcat:7bkhqssll5b7bnjwnfpblphy24

Eye Movement Analysis for Activity Recognition Using Electrooculography

Andreas Bulling, Jamie A Ward, Hans Gellersen, Gerhard Tröster
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this work, we investigate eye movement analysis as a new sensing modality for activity recognition. Eye movement data were recorded using an electrooculography (EOG) system.  ...  The work demonstrates the promise of eye-based activity recognition (EAR) and opens up discussion on the wider applicability of EAR to other activities that are difficult, or even impossible, to detect  ...  Second, good recognition results were achieved using a mixture of features based on the fundamentals of eye movements.  ... 
doi:10.1109/tpami.2010.86 pmid:20421675 fatcat:imx4j37akzdvhaiqjg4kepyqca

Perspective and Evolution of Gesture Recognition for Sign Language: A Review

Jesús Galván-Ruiz, Carlos M. Travieso-González, Acaymo Tejera-Fettmilch, Alejandro Pinan-Roescher, Luis Esteban-Hernández, Luis Domínguez-Quintana
2020 Sensors  
One of the most important conclusions is the ability of the Leap Motion sensor to provide 3D information from the hands for due identification.  ...  At the end of the review, Leap Motion sensor possibilities are described in detail, in order to consider its application on the field of sign language.  ...  the conversation context. essentially evolved from an intuitive recognition, to a more formal recognition based on the improvements from experiments on sensors used for this purpose.  ... 
doi:10.3390/s20123571 pmid:32599793 pmcid:PMC7349703 fatcat:nt2un5zkvzgcjm4hnbbmk2grl4

A survey on health monitoring systems for health smart homes

Haider Mshali, Tayeb Lemlouma, Maria Moloney, Damien Magoni
2018 International Journal of Industrial Ergonomics  
Finally, we present challenges and open issues facing the smart HMS field and we make recommendations on how to improve future systems.  ...  We review HMS in smart environments from a general perspective and with a particular focus on systems for the elderly and dependent people.  ...  (EMG) used to monitor muscle activity, and electrooculography sensors (EOG) used to monitor eye movements.  ... 
doi:10.1016/j.ergon.2018.02.002 fatcat:gwkfbryll5c4bntbu6qxm4cknq

From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices

Ivan Pires, Nuno Garcia, Nuno Pombo, Francisco Flórez-Revuelta
2016 Sensors  
The number and type of available sensors depend on the selected mobile platform, with variants imposed by the manufacturer, operating system and model.  ...  Jointly with this classification, the suitability of the use of these sensors in mobile systems for the recognition of ADLs is also evaluated.  ...  Other systems have been implemented for gesture recognition. Zhu et al. [118] proposed a high-accuracy human gesture recognition system based on multiple motion sensor fusion.  ... 
doi:10.3390/s16020184 pmid:26848664 pmcid:PMC4801561 fatcat:ushwthv6xrcgbi7lc2sejwgtje

A Survey on Mobile Social Signal Processing

Niklas Palaghias, Seyed Amir Hoseinitabatabaei, Michele Nati, Alexander Gluhak, Klaus Moessner
2016 ACM Computing Surveys  
Different modalities may be leveraged for the extraction of a behavioural cue, depending on the grammar defined in psychology.  ...  Literature has been grouped based on the inferred social behaviour through mobile phones.  ...  Based on the application they proposed alternative methods, such as electrooculography (EOG) or camera recordings, to detect eye movement.  ... 
doi:10.1145/2893487 fatcat:sijw4ls7wzgvnijwpifqwatdfa

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey [article]

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
2019 arXiv   pre-print
In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.  ...  They used the ANN, HMM, conditional random field, and SVM [13] as base classifiers for activity recognition.  ...  They presented three of sequence-based models: HMM, conditional random fields, and a sequential Markov logic network.  ... 
arXiv:1904.01460v2 fatcat:rz2gsyurkradlkqvfankw3zue4

Towards disappearing user interfaces for ubiquitous computing: human enhancement from sixth sense to super senses

Terence K. L. Hui, R. Simon Sherratt
2016 Journal of Ambient Intelligence and Humanized Computing  
Enhancement of human senses through DUIs and context awareness is discussed as the groundwork enabling smarter wearable devices for interfacing with human emotional memories.  ...  The design of computer user interfaces towards "disappearing" forces the interaction with humans using a content rather than a menu driven approach, thus the emerging requirement for huge number of non-technical  ...  and astutely react based on the corresponding context information.  ... 
doi:10.1007/s12652-016-0409-9 fatcat:2l5s6oim4ngndghuszwbyyb3ly

Towards the Development of a Brain Semi-controlled Wheelchair for Navigation in Indoor Environments

Hailah AlMazrua, Abir Benabid Najjar
2021 International Journal of Advanced Computer Science and Applications  
A prototype system based on the proposed framework was developed.  ...  Subjects steered the wheelchair using the three different operation modes effectively by controlling the direction of motion.  ...  It is responsible for enabling/disabling the user commands, based on the environment's context.  ... 
doi:10.14569/ijacsa.2021.0120569 fatcat:ejdyd5pxhjbgrlfpgavopjaati

Wearable-Based Affect Recognition—A Review

Philip Schmidt, Attila Reiss, Robert Dürichen, Kristof Van Laerhoven
2019 Sensors  
Affect recognition research aims to detect the affective state of a person based on observables, with the goal to, for example, provide reasoning for the person's decision making or to support mental wellbeing  ...  Recently, beside of approaches based on audio, visual or text information, solutions relying on wearable sensors as observables, recording mainly physiological and inertial parameters, have received increasing  ...  Their results indicate that stress detection, based on wearable-based data and context information, is feasible, even in mostly unconstrained settings.  ... 
doi:10.3390/s19194079 pmid:31547220 pmcid:PMC6806301 fatcat:axkkxpscangaxf3dbvxighvfme

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey

Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis C. Fong
2019 IEEE Access  
In this paper, we survey the area of smart building with a special focus on the role of techniques from machine learning and big data analytics.  ...  They used the ANN, HMM, conditional random field, and SVM [13] as base classifiers for activity recognition.  ...  They presented three of sequence-based models: HMM, conditional random fields, and a sequential Markov logic network.  ... 
doi:10.1109/access.2019.2926642 fatcat:637wvzuezncn5noyfpfzx7w3ve
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