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EarBit

Abdelkareem Bedri, Gregory Abowd, Richard Li, Malcolm Haynes, Raj Prateek Kosaraju, Ishaan Grover, Temiloluwa Prioleau, Min Yan Beh, Mayank Goel, Thad Starner
2017 Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies  
In the unconstrained, outside-the-lab evaluation, EarBit obtained an accuracy of 93% and an F 1 -score of 80.1% in detecting chewing instances.  ...  Using leave-one-user-out validation, EarBit recognized all the eating episodes in the semicontrolled lab study, and achieved an accuracy of 90.1% and an F 1 -score of 90.9% in detecting chewing instances  ...  Acknowledgments This work is supported by the Center of Excellence for Mobile Sensor Data-to-Knowledge MD2K.  ... 
doi:10.1145/3130902 pmid:30135957 pmcid:PMC6101257 fatcat:3whuqkxnhbartbtowonnvo7bqi

Puberty and the genetic diathesis of disordered eating attitudes and behaviors

Kristen M. Culbert, S. Alexandra Burt, Matthew McGue, William G. Iacono, Kelly L. Klump
2009 Journal of Abnormal Psychology  
, body dissatisfaction, binge eating, compensatory behaviors) using both classification methods in a new sample of 656 female twins.  ...  Findings highlight the potentially important role of puberty in the genetic diathesis of disordered eating attitudes and behaviors and the need to use early indicators of pubertal status in studies of  ...  ., 2003) , significant mean differences (see Table 1 ) in disordered eating attitudes and behaviors were observed between twin groups using both methods of pubertal classification [F(2, 630) = 13.77,  ... 
doi:10.1037/a0017207 pmid:19899848 pmcid:PMC2782672 fatcat:z2cszmipbrhopgbmyxoaje2vhy

Unconstrained Person Identification from Ceiling Using Multiview Learning for Tabletop Users

Yasuo Namioka, Akira Masuda, Takuya Maekawa
2017 Journal of Information Processing  
A novel unconstrained person identification method is presented in this paper.  ...  install the ceiling-mounted device in an environment with limited space such as daily life environments and factory environments.  ...  As shown in Table 1 , the classification accuracy using the web browsing data was slightly poorer than that using the eating data.  ... 
doi:10.2197/ipsjjip.25.889 fatcat:vo5uvsp4xfaijcn6mfid7v3bda

Multimodal Classification of Activities of Daily Living Inside Smart Homes [chapter]

Vit Libal, Bhuvana Ramabhadran, Nadia Mana, Fabio Pianesi, Paul Chippendale, Oswald Lanz, Gerasimos Potamianos
2009 Lecture Notes in Computer Science  
Our experimental results show that both acoustic and visual features are useful in ADL classification, but performance of the latter deteriorates when subject tracking becomes inaccurate.  ...  The extracted features are then presented to Gaussian mixture models for their classification into a set of predefined ADLs.  ...  In addition, FBK colleagues Massimo Zancanaro, Allesandro Cappelletti, Bruno Lepri, Stefano Messelodi, and Francesco Tobia for the design of the ADL corpus and its collection.  ... 
doi:10.1007/978-3-642-02481-8_103 fatcat:sp7hgqwtzffdrou3awjje3ll5y

Adjunctive behavior of the rat under periodic food delivery in a 24-hour environment

Gary A. Lucas, William Timberlake, Donald J. Gawley
1988 Animal Learning and Behavior  
The behavior of 4 rats living in complex environments was monitored 24 h per day during freefeeding baseline and under conditions of periodic access to food.  ...  in the preprandial behavior directed toward the site of expected food, and (3) an increase in the postprandial distribution of both site-directed and more general exploratory behavior.  ...  behavior found around unconstrained feeding periods in baseline.  ... 
doi:10.3758/bf03209039 fatcat:v3xygdbfbrb57n4qb4qu3icc3a

Periodic water, interwater interval, and adjunctive behavior in a 24-hour multiresponse environment

William Timberlake, Gary A. Lucas
1991 Animal Learning and Behavior  
Further, unlike the increase in drinking under periodic food, total eating decreased under periodic water.  ...  Use of a 24-h multiresponse environment allowed evaluation of interdrink responses with respect to their excessiveness, patterning, and functional relationship to the interwater interval.  ...  Periodic water, interwater interval, and adjunctive behavior in a 24-hour multiresponse environment WILLIAM TIMBERLAKE and GARY A.  ... 
doi:10.3758/bf03197898 fatcat:o3z4tbjie5hwhhz4jyepnh7w4e

Cigarette Smoking Detection with An Inertial Sensor and A Smart Lighter

Volkan Senyurek, Masudul Imtiaz, Prajakta Belsare, Stephen Tiffany, Edward Sazonov
2019 Sensors  
The PACT2.0 was utilized in a study of 35 moderate to heavy smokers in both controlled (1.5–2 h) and unconstrained free-living conditions (~24 h).  ...  These results suggest that an IMU and instrumented lighter may potentially be used in studies of smoking behavior under natural conditions.  ...  Funding: Research supported in this publication was supported by the National Institute on Drug Abuse of the National Institutes of Health under Award Number R01DA035828.  ... 
doi:10.3390/s19030570 pmid:30700056 pmcid:PMC6387353 fatcat:qthgzkzp3zhijoud6hfug2xbvy

Behavior and Personality Analysis in a Nonsocial Context Dataset

Dario Dotti, Mirela Popa, Stylianos Asteriadis
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
Forty-six participants were recorded in an unconstrained indoor space, related to a smart home environment, performing six tasks resembling Activities of Daily Living (ADL).  ...  The majority of existing methods investigate personality assessment in social contexts, such as crowded places or social events, but ignore the role of behaviors as well as personality in nonsocial situations  ...  Additionally, we would like to thank all the participants in our experiment, who were students as well as employees from the University of Maastricht (The Netherlands).  ... 
doi:10.1109/cvprw.2018.00312 dblp:conf/cvpr/DottiPA18 fatcat:a4d4qfi5bjgzdjdfheabjhvamm

Action recognition: From static datasets to moving robots

Fahimeh Rezazadegan, Sareh Shirazi, Ben Upcrofit, Michael Milford
2017 2017 IEEE International Conference on Robotics and Automation (ICRA)  
We also validate our action recognition method in an abnormal behavior detection scenario to improve workplace safety.  ...  If these models are to be employed by autonomous robots in real world environments, they must be adapted to perform independently of background cues and camera motion effects.  ...  ACKNOWLEDGMENT This Research has supported by a QUTPRA and Australian Centre of Excellence for Robotic Vision (project number CE140100016).  ... 
doi:10.1109/icra.2017.7989361 dblp:conf/icra/RezazadeganSUM17 fatcat:2wy37watljaglgolkojlhde5qq

Preference-Based Serial Decision Dynamics: Your First Sushi Reveals Your Eating Order at the Sushi Table

Jaeseung Jeong, Youngmin Oh, Miriam Chun, Jerald D. Kralik, Hiroaki Matsunami
2014 PLoS ONE  
However, our behavioral strategy to determine the order of choice is poorly understood.  ...  These two choice sequences appear to reflect two opposing behavioral strategies that might provide selective advantages in their own right, while also helping to provide solutions to otherwise unconstrained  ...  Jihoon Oh (The Catholic University of Korea) for his valuable comments on the manuscript. Author Contributions Conceived and designed the experiments: JJ. Performed the experiments: YO.  ... 
doi:10.1371/journal.pone.0096653 pmid:24846274 pmcid:PMC4028175 fatcat:xzdlnmpdxfft5lc3vibkdpvfe4

Leveraging Context to Support Automated Food Recognition in Restaurants

Vinay Bettadapura, Edison Thomaz, Aman Parnami, Gregory D. Abowd, Irfan Essa
2015 2015 IEEE Winter Conference on Applications of Computer Vision  
In this paper, we study how taking pictures of what we eat in restaurants can be used for the purpose of automating food journaling.  ...  The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat.  ...  Semi-Automating Food Journaling Dietary selfmonitoring is effective when individuals are actively engaged and become aware of their eating behaviors.  ... 
doi:10.1109/wacv.2015.83 dblp:conf/wacv/BettadapuraTPAE15 fatcat:qx55imagc5fw3kin463yuhamui

How adults construct evening meals. Scripts for food choice

Christine E. Blake, Carole A. Bisogni, Jeffery Sobal, Margaret Jastran, Carol M. Devine
2008 Appetite  
To gain understanding of how participants constructed food choice in a specific eating episode, the researcher analyzed passages from the interview transcripts related to the evening meal.  ...  Forty-two purposively recruited, employed US adults completed repeated card-sort tasks and in-depth, qualitative interviews related to different eating contexts.  ...  This provided a sample of participants similar in occupational status but with potentially different eating environments and schedules.  ... 
doi:10.1016/j.appet.2008.05.062 pmid:18585416 fatcat:a6jd7aui2zdjxdbdurczgj7nbq

Assessing consumers' attitudes, expectations and intentions towards health and sustainability regarding seafood consumption in Italy

Gabriele Sacchettini, Greta Castellini, Guendalina Graffigna, Christine Yung Hung, Milena Lambri, António Marques, Federica Perrella, Mariarosaria Savarese, Wim Verbeke, Ettore Capri
2021 Zenodo  
Three groups of consumerswere identified based on general health interest, perceived benefits of eating seafoods and attitude towards seafoods: Health seekerswho eat seafood for duty; Health seekers and  ...  On the basis of these premises, this research explores Italian consumers' attitudes towards health and sustainability in relation to seafood, in order to segment different target of consumers.  ...  Moreover, we wish to thank Fabrizio Paloni (FEDERCONSUMATORI, Italy) for the useful inputs in defining research instruments and Miriam Bisagni (PIACECIBOSANO, Italy) for all the support provided in recruiting  ... 
doi:10.5281/zenodo.5155454 fatcat:dccpsn7gcveftb6t3bab757ny4

SAMMPLE: Detecting Semantic Indoor Activities in Practical Settings Using Locomotive Signatures

Zhixian Yan, Dipanjan Chakraborty, Archan Misra, Hoyoung Jeung, Karl Aberer
2012 2012 16th International Symposium on Wearable Computers  
in practical settings.  ...  Our findings from 152 days of real-life behavioral traces reveal that locomotive signatures achieve an average accuracy of 77.14%, an improvement of 16.37% over directly using statistical features.  ...  These work well when the activity exhibits recurring behavior over short spans of time, typically of the order of seconds.  ... 
doi:10.1109/iswc.2012.22 dblp:conf/iswc/YanCMJA12 fatcat:xr2etepywjh6vjtskxassaf4g4

Characteristics and stability of empirically derived anorexia nervosa subtypes: Towards the identification of homogeneous low-weight eating disorder phenotypes

Jennifer E. Wildes, Kelsie T. Forbush, Kristian E. Markon
2013 Journal of Abnormal Psychology  
Interest in the development of a more valid diagnostic system has been particularly pronounced for the eating disorders (EDs) (for  ...  Keywords anorexia nervosa; eating disorder; latent transition analysis; non-fat-phobic With the recent publication of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM  ...  Acknowledgments This research was supported by K01 MH080020 from the National Institute of Mental Health. We thank Marsha Marcus for her feedback on an earlier draft of this manuscript.  ... 
doi:10.1037/a0034676 pmid:24364605 pmcid:PMC3874132 fatcat:7v5dkcijengsfms7oy6f27z7rq
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