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Human Behaviour Analysis through Smartphones

Kostas Konsolakis, Hermie Hermens, Claudia Villalonga, Miriam Vollenbroek-Hutten, Oresti Banos
2018 Proceedings (MDPI)  
Human behaviour analysis through smartphone devices has been an active field for more than a decade and there are still a lot of key aspects to be addressed.  ...  We categorise prior works into four main sensing modalities related to physical, cognitive, emotional and social behaviour.  ...  This work has also been supported by the Dutch UT-CTIT project HoliBehave and in collaboration with the research project "Progress in Computer Architectures for Automatic Learning using Heterogeneous Sources  ... 
doi:10.3390/proceedings2191243 fatcat:omty7glwwbfmxi36ughmuzq7ae

Secondary Emotions Deduction from Context [chapter]

Kuderna-Iulian Benţa, Marcel Cremene, Nicoleta Ramona Gibă, Ulises Xolocotzin Eligio, Anca Rarău
2009 Innovations and Advances in Computer Sciences and Engineering  
To deduce affective states, we first used a method based on the user profile solely. Enhancement of this method with machine learning substantially improved the recognition of affective states.  ...  In a realistic environment, we defined a set of emotions common to a museum visit. Then we developed a context aware museum guide mobile application.  ...  Herculea) for their help in developing the web based and the J2ME application and to all participants in the tests.  ... 
doi:10.1007/978-90-481-3658-2_29 dblp:conf/cisse/BentaCGER08 fatcat:xtl3jwckozejbpe3jfcgcv5nvq

A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors

Agata Kołakowska, Wioleta Szwoch, Mariusz Szwoch
2020 Sensors  
Then, various machine learning approaches implemented to recognise emotional states are described.  ...  This article provides a systematic overview of publications from the last 10 years related to emotion recognition methods using smartphone sensors.  ...  In their further study presented in [91] , the authors also trained a machine learning model to detect the inopportune moments for self-reports.  ... 
doi:10.3390/s20216367 pmid:33171646 fatcat:xxtf6f3xqjfcxmzhp6g74475iy

Privileged Information for Modeling Affect In The Wild [article]

Konstantinos Makantasis, David Melhart, Antonios Liapis, Georgios N. Yannakakis
2021 arXiv   pre-print
As a response to these limitations in this paper we are inspired by recent advances in machine learning and introduce the concept of privileged information for operating affect models in the wild.  ...  A key challenge of affective computing research is discovering ways to reliably transfer affect models that are built in the laboratory to real world settings, namely in the wild.  ...  Finally, information about users in the wild often comes with a cost in terms of intrusiveness (e.g. requiring users to use sensors) and privacy (e.g. access to a smartphone's webcam and microphone).  ... 
arXiv:2107.10552v1 fatcat:u334gcq45na6bk7zf64eag57py

Biometric applications in education

Marcela Hernandez-de-Menendez, Ruben Morales-Menendez, Carlos A. Escobar, Jorge Arinez
2021 International Journal on Interactive Design and Manufacturing  
In addition to identifying students, access control, and personal data management, it has critical applications to improve the academic domain's teaching/learning processes.  ...  The future seems promising for biometric technology; the biometric technology market is expected to reach a value of USD 94 billion by 2025 at a compound annual growth rate of 36%.  ...  Acknowledgements The authors would like to acknowledge the financial and technical support of Writing Lab, TecLabs, Tecnológico de Monterrey, México, in the production of this work.  ... 
doi:10.1007/s12008-021-00760-6 fatcat:id6tlwd4rbhxjp57afrwpd43zy

A Survey on Mobile Social Signal Processing

Niklas Palaghias, Seyed Amir Hoseinitabatabaei, Michele Nati, Alexander Gluhak, Klaus Moessner
2016 ACM Computing Surveys  
Initially we expose the terminology used in the area and introduce a concrete architecture for social signal processing applications on mobile phones, constituted by sensing, social interaction detection  ...  -Evaluate and verify the reliability of the approach in a real-world environment based on ground truth.  ...  A rife approach to extract behavioural cues and social signals is by utilising machine learning techniques.  ... 
doi:10.1145/2893487 fatcat:sijw4ls7wzgvnijwpifqwatdfa

ISABELA – A Socially-Aware Human-in-the-Loop Advisor System

J. Fernandes, D. Raposo, N. Armando, S. Sinche, J. Sá Silva, A. Rodrigues, V. Pereira, H. Gonçalo Oliveira, Luís Macedo, F. Boavida
2020 Online Social Networks and Media  
In this respect, they can be looked at as open loop, rather than integrating humans in a feedback loop, with potential to react to and change the environment.  ...  In this paper, we present a HITLCPS AS system that combines online social networks (OSN) data with a variety of other data, such as environmental data and personal mobile devices data, in order to provide  ...  José Marcelo Fernandes wishes to acknowledge the Portuguese funding institution FCT -Foundation for Science and Technology for supporting their research under the Ph.D. grants SFRH/BD/147371/2019.  ... 
doi:10.1016/j.osnem.2020.100060 fatcat:pqnkdbvk5rdlbbu5jijxlm5jby

MobileCogniTracker

Jan Wohlfahrt-Laymann, Hermie Hermens, Claudia Villalonga, Miriam Vollenbroek-Hutten, Oresti Banos
2018 Journal of Ambient Intelligence and Humanized Computing  
The tool further integrates the digital cognitive experience sampling with passive smartphone sensor data streams that may be used to study the interplay of cognition and physical, social and emotional  ...  The Mini-Mental State Examination test, a clinical questionnaire extensively used to measure cognitive disorders, has been particularly implemented here to showcase the possibilities offered by our tool  ...  distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were  ... 
doi:10.1007/s12652-018-0827-y fatcat:aq4nv53ntvbbxjzaj35bnvk4fm

Stress reduction using bilateral stimulation in virtual reality

Dorota Kaminska, Krzysztof Smolka, Grzegorz Zwolinski, Slawomir Wiak, Dorota Merecz-Kot, Golamreza Anbarjafari
2020 IEEE Access  
They applied a kernel-based extreme-learning machine to classify five different levels of stress situations: baseline, mild stress, moderate stress, severe stress, and recovery.  ...  accuracy of 80.32 % using the Gaussian Support Vector Machine.  ... 
doi:10.1109/access.2020.3035540 fatcat:l4uxj6df2zdbvmccxnp6fhwhq4

The Use and Promise of Conversational Agents in Digital Health

Tilman Dingler, Dominika Kwasnicka, Jing Wei, Enying Gong, Brian Oldenburg
2021 IMIA Yearbook of Medical Informatics  
Method: A narrative review of recent advances in technologies underpinning conversational agents and their use and potential for healthcare and improving health outcomes.  ...  Results: By responding to written and spoken language, conversational agents present a versatile, natural user interface and have the potential to make their services and applications more widely accessible  ...  Throughout most of the late 20 th century, NLP software was mainly rule-based when in the 1990's, machine-learning techniques were used to statistically process natural language.  ... 
doi:10.1055/s-0041-1726510 pmid:34479391 fatcat:6xdzz7yrmbfhrh27wu45ept2dq

DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones [article]

Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo
2014 arXiv   pre-print
The rapidly growing adoption of sensor-enabled smartphones has greatly fueled the proliferation of applications that use phone sensors to monitor user behavior.  ...  A central sensor among these is the microphone which enables, for instance, the detection of valence in speech, or the identification of speakers.  ...  Deployment issues arise when machine learning models with a large number of parameters need to be initialized but these parameters cannot be read from the file system and instead are provided directly  ... 
arXiv:1409.3206v1 fatcat:l5o4jm7gxbbdtidyqiqdh373jm

Understanding and Proposing a Design Rationale of Digital Games based on Brain-Computer Interface: Results of the AdmiralMind Battleship Study

Alessandro Luiz Stamatto Ferreira, Juvane Nunes Marciano, Leonardo Cunha de Miranda, Erica Esteves Cunha de Miranda
2014 Journal of Interactive Systems  
This approach leads to the construction of a design rationale developed to support the process of BCI-based games, with its use established on the design of a battleship game based on BCI.  ...  In this work it is presented a literature review about digital games based on BCI, aiming to analyze the interaction design of these games, to identify the approaches applied, limitations and implications  ...  in the captured signal; (ii) boredom for the user to calibrate the BCI; (iii) discomfort in the use of headsets, due to the their limitations, as the need to use gel in the sensors; (iv) high error rate  ... 
doi:10.5753/jis.2014.638 fatcat:v2n5553kfffvxb2py376jpuu4m

Mobile Multimodal Serious Games Analytics

Laila Shoukry
2020
Based on a study of available frameworks, it classifies the four dimensions learning, gaming, using and context.  ...  Unobtrusive integrated sensors are used for observing user interactions in natural contexts.  ...  Observer and interaction data can be automatically aligned together instead of the manual offset by training a machine learning algorithm to detects lags in observer session start time.  ... 
doi:10.25534/tuprints-00013539 fatcat:3fqt7m4sqvgmzfyztzqhinimle

Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review

Gisbert W Teepe, Ashish Da Fonseca, Birgit Kleim, Nicholas C Jacobson, Alicia Salamanca Sanabria, Lorainne Tudor Car, Elgar Fleisch, Tobias Kowatsch
2021
A promising approach to increase the effectiveness of the apps while reducing the individual's burden is the use of just-in-time adaptive intervention (JITAI) mechanisms.  ...  However, in both cases, the measured outcomes were not used to tailor content and timing along a state of vulnerability or receptivity.  ...  Acknowledgments The authors would like to thank Jacqueline Louise Mair for reviewing the manuscript and providing feedback.  ... 
doi:10.5167/uzh-216719 fatcat:iwnzcgccenarbj5uifscwdfjxq

Eco-friendly Naturalistic Vehicular Sensing and Driving Behaviour Profiling [article]

RANA MASSOUD
2020
The proposed approach to virtual sensor design is general and thus applicable to various application domains other than fuel-efficient driving.  ...  The second module provides instant recommendations using fuzzy logic when inefficient driving patterns are detected.  ...  (with a mathematical formula eq (2) described in 3.2 (4)) that it could be used to develop a new model based on machine learning (ML).  ... 
doi:10.15167/massoud-rana_phd2020-04-24 fatcat:jbg5adhs4ngpnh5nubtecqczsa
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