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Experiments in Lifelog Organisation and Retrieval at NTCIR [chapter]

Cathal Gurrin, Hideo Joho, Frank Hopfgartner, Liting Zhou, Rami Albatal, Graham Healy, Duc-Tien Dang Nguyen
2020 Evaluating Information Retrieval and Access Tasks  
personal data archive, called a lifelog.  ...  The Lifelog task at NTCIR was a comparative benchmarking exercise with the aim of encouraging research into the organisation and retrieval of data from multimodal lifelogs.  ...  At NTCIR-13, Tsinghua University (China) developed an approach to give insights into the big-five personality traits, moods, music moods, style detection and sleep-quality prediction (Soleimaninejadian  ... 
doi:10.1007/978-981-15-5554-1_13 fatcat:fhsvm3teibelblxn2qapgfbhue

Providing feedback on emotional experiences and decision making

Jana Machajdik, Julian Stottinger, Ester Danelova, Martin Pongratz, Lukas Kavicky, Roberto Valenti, Allan Hanbury
2011 IEEE Africon '11  
Providing feedback on emotional experiences and decision making Machajdik, J.; Stöttinger, J.; Danelova, E.; Pongratz, M.; Kavicky, L.; Valenti, R.; Hanbury, A.  ...  Furthermore, mood analysis of the music the user is listening to (using tools like Sony's SensMe 7 ) can add a further interesting dimension to the system. D.  ...  Google image-swirl 5 is not focussed on the order of private photo collections, but connects public images and puts it in a graph based representation based on text tags, tag categories and visual matching  ... 
doi:10.1109/afrcon.2011.6072130 fatcat:7qptx7f23zatvaer4wru7you2e

Signal Processing of Multimodal Mobile Lifelogging Data towards Detecting Stress in Real-World Driving

Chelsea Dobbins, Stephen Fairclough
2018 IEEE Transactions on Mobile Computing  
Results were positive and ensemble classification models provided a maximum accuracy of 86.9% for binary detection of stress in the real-world.  ...  This work describes a set of algorithms designed to process multiple streams of lifelogging data for stress detection in the context of real world driving.  ...  This is the reason why those classification models that merged both sets of features delivered higher classification accuracy compared to those based on either driving or physiology alone ( (TABLE 4)  ... 
doi:10.1109/tmc.2018.2840153 fatcat:mx32k44gijc6llo6ik7nbjsjam

Unconscious emotions: quantifying and logging something we are not aware of

Leonid Ivonin, Huang-Ming Chang, Wei Chen, Matthias Rauterberg
2012 Personal and Ubiquitous Computing  
the lifelogging field.  ...  On the other hand, it is not clear if unconscious emotions can be recognized from physiological signals and differentiated from conscious emotions.  ...  The third type of analysis aimed to investigate the classification of the emotional categories based on heart rate.  ... 
doi:10.1007/s00779-012-0514-5 fatcat:4fn2qgr43jdhfa6hrse33skb2a

The Streams of Our Lives: Visualizing Listening Histories in Context

Dominikus Baur, Frederik Seiffert, Michael Sedlmair, Sebastian Boring
2010 IEEE Transactions on Visualization and Computer Graphics  
We also put listening histories in contrast to other lifelogging data.  ...  Its two main user tasks are (1) analysis, with an emphasis on temporal patterns and hypotheses related to musical genre and sequences, and (2) reminiscing, where listening histories and context represent  ...  , more mellow one for regulating their moods [8] .  ... 
doi:10.1109/tvcg.2010.206 pmid:20975150 fatcat:4ao2j3uujvfudafhoan2eqvfei

LifeLogging: Personal Big Data

Cathal Gurrin, Alan F. Smeaton, Aiden R. Doherty
2014 Foundations and Trends in Information Retrieval  
However, we also reflect on the challenges lifelogging poses to an information retrieval scientist.  ...  Thus far, most of the lifelogging research has focused predominantly on visual lifelogging in order to capture life details of life activities, hence we maintain this focus in this review.  ...  The authors wish to thank the large number of postdoctoral researchers, PhD students and research assistants who have worked with us over the last decade on various lifelogging projects.  ... 
doi:10.1561/1500000033 fatcat:lmpz4lsn2jbmtkz4tejukyju24

Interactive exploration of music listening histories

Ricardo Dias, Manuel J. Fonseca, Daniel Gonçalves
2012 Proceedings of the International Working Conference on Advanced Visual Interfaces - AVI '12  
Over the past years, music listening histories have become easily accessible due to the expansion of online lifelogging services.  ...  Our solution combines a rich-featured timeline-based visualization, a set of synchronized-views and an interactive filtering mechanism to provide a flexible, effective and easy to use system for the analysis  ...  Exercise and running habits 1 , mood 2 , or even their music listening histories 3 are just a few examples.  ... 
doi:10.1145/2254556.2254637 dblp:conf/avi/DiasFG12 fatcat:ulogyolkuneqlomcavmorjkequ

Human-centered implicit tagging: Overview and perspectives

Mohammad Soleymani, Maja Pantic
2012 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
Implicit tagging is an effortless process by which content is tagged based on users' spontaneous reactions.  ...  Tags can be generated by users (user-generated explicit tags), automatically from the content (content-based tags), or assigned automatically based on non-verbal behavioral reactions of users to multimedia  ...  classification [9] .  ... 
doi:10.1109/icsmc.2012.6378301 dblp:conf/smc/SoleymaniP12 fatcat:eli5exdwljezdacaio5t2rz7x4

Predicting recurrence of depression using lifelog data: an explanatory feasibility study with a panel VAR approach

Narimasa Kumagai, Aran Tajika, Akio Hasegawa, Nao Kawanishi, Masaru Horikoshi, Shinji Shimodera, Ken'ichi Kurata, Bun Chino, Toshi A. Furukawa
2019 BMC Psychiatry  
We collected digital data consisting of individual activity records such as location or mobility information (lifelog data) from 89 patients who were on maintenance therapy for depression for a year, using  ...  Secondly, utilizing the lifelogs, patients can record their activity diaries more easily. The Kurashiapp collects individual's lifelogs via smartphone and estimates their activities based on them.  ...  Third, based on the value of CD shown in Table 1 , we decided that the maximum lag order was 4.  ... 
doi:10.1186/s12888-019-2382-2 pmid:31829206 pmcid:PMC6907185 fatcat:kji3ud4nyjcotjn6avxwsnnnci

4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE)

Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir
2016 Proceedings of the 10th ACM Conference on Recommender Systems - RecSys '16  
The EMPIRE workshop attempts to provide some answers to the growing interest of the user modeling research community on the role of human factors, especially personality and emotions, on various aspects  ...  The field of emotion classification in music is still evolving (see for an overview [15] ).  ...  For example, much of music information retrieval (MIR) research to date has been systems-based, conducted in laboratory environment by assuming some objective "ground truth" (such as genre classification  ... 
doi:10.1145/2959100.2959201 dblp:conf/recsys/TkalcicCGK16 fatcat:up6jkjuz2bfaldkcyboyrjbdyu

BodyScope

Koji Yatani, Khai N. Truong
2012 Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp '12  
The F-measure of the Support Vector Machine classification of 12 activities using only our BodyScope sensor was 79.5%.  ...  Accurate activity recognition enables the development of a variety of ubiquitous computing applications, such as context-aware systems, lifelogging, and personal health systems.  ...  Features Based on the previous work we reviewed, we decided to use the following three domain features for our machinelearning classification: time, frequency and cepstral.  ... 
doi:10.1145/2370216.2370269 dblp:conf/huc/YataniT12 fatcat:6uf3uq6zbvfi5nzoasnh3bht3q

Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review

Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Gustavo Ramirez-Gonzalez
2020 Future Internet  
Research publications related to the recommenders of emotion-based tourism cover the last two decades.  ...  of the users lifelogs [200, 201] .  ...  Similarly, [16] used a hybrid CF approach based on mood, the fusion of preferences, and users' ratings with similar interests.  ... 
doi:10.3390/fi13010002 fatcat:h6hfzyfe5bdw3hvlqinjmrunmq

PANAS-t: A Pychometric Scale for Measuring Sentiments on Twitter [article]

Pollyanna Gonçalves, Fabrício Benevenuto, Meeyoung Cha
2013 arXiv   pre-print
In this paper, we propose PANAS-t, which measures sentiments from short text updates in Twitter based on a well-established psychometric scale, PANAS (Positive and Negative Affect Schedule).  ...  The short text updates people post in these network contain emotions and moods, which when measured collectively can unveil the public mood at population level and have exciting implications for businesses  ...  Finally, guilt is also expected as the event is based on wrong prejudice based on appearance.  ... 
arXiv:1308.1857v1 fatcat:dusjfylknjcmxdcqiod4hy7afu

Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities

Francisco M. Calatrava-Nicolás, Eduardo Gutiérrez-Maestro, Daniel Bautista-Salinas, Francisco J. Ortiz, Joaquín Roca González, José Alfonso Vera-Repullo, Manuel Jiménez-Buendía, Inmaculada Méndez, Cecilia Ruiz-Esteban, Oscar Martínez Mozos
2021 Sensors  
It is a system focused on the field of artificial intelligence for mood prediction and coaching.  ...  This paper provides an overview of the RobWell (Robotic-based Well-Being Monitoring and Coaching System for the Elderly in their Daily Activities) system.  ...  Signal Classification The system introduced in this work is based on two elements: on the one hand, we have a wristband type device that can be used to obtain information on physiological variables and  ... 
doi:10.3390/s21206865 pmid:34696078 pmcid:PMC8540718 fatcat:ssqqekaamvb2bgg6onplui7ql4

AffectAura

Daniel McDuff, Amy Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski
2012 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12  
We present AffectAura, an emotional prosthetic that allows users to reflect on their emotional states over long periods of time.  ...  We designed a multimodal sensor set-up for continuous logging of audio, visual, physiological and contextual data, a classification scheme for predicting user affective state and an interface for user  ...  This helped them discover and reflect on productivity-based and emotion-based patterns in their day.  ... 
doi:10.1145/2207676.2208525 dblp:conf/chi/McDuffKKRC12 fatcat:tj23ulqplvdfnbvk53redi7ahq
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