Relevant bibliographies by topics / Activity level

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Activity level'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Activity level"

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Valanju, Nikhil Nandkumar. "Assessment of Level of Physical Activity in Physiotherapy Students." Indian Journal of Youth and Adolescent Health 05, no. 01 (February 26, 2018): 34–37. http://dx.doi.org/10.24321/2349.2880.201802.

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Abi Nader, Patrick, Evan Hilberg, John M. Schuna, Deborah H. John, and Katherine B. Gunter. "Teacher-Level Factors, Classroom Physical Activity Opportunities, and Children’s Physical Activity Levels." Journal of Physical Activity and Health 15, no. 9 (September 1, 2018): 637–43. http://dx.doi.org/10.1123/jpah.2017-0218.

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Background: Classroom-based physical activity (CBPA) breaks are a cost-effective strategy to promote physical activity (PA) at school. Despite teachers’ critical roles in sustained implementation of CBPA breaks, few studies examined the association of teacher-level factors with student PA levels, and none focused on rural schools. Methods: We monitored children’s PA levels over 4 consecutive school days at 6 rural Oregon elementary schools with Walk4Life pedometers. During the same week, teachers recorded all student PA opportunities (recess, PE, and CBPA breaks) and answered a 26-item questionnaire about factors influencing their use of CBPA breaks. Mixed-effects models were used to associate teacher-level factors and PA opportunities with children’s moderate to vigorous PA (MVPA; in minutes per day), controlling for child-level covariates. Results: When teachers valued PA, students accumulated more MVPA (1.07 min/d; P < .01) than students of teachers reporting low PA value. Students did more MVPA (1 min/d; P < .001) when teachers agreed the school operating conditions posed barriers to providing PA than when teachers disagreed that barriers existed. PE classes contributed significantly to student’s PA levels. Conclusion: Provision of PE, increasing teacher value for PA, and further investigation of how teacher-level factors relate to students’ MVPA levels during CBPA breaks at rural elementary schools are warranted.
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Rajappan, Roshini, Karthikeyan Selvaganapathy, and Lola Liew. "PHYSICAL ACTIVITY LEVEL AMONG UNIVERSITY STUDENTS: A CROSS SECTIONAL SURVEY." International Journal of Physiotherapy and Research 3, no. 6 (December 11, 2015): 1336–43. http://dx.doi.org/10.16965/ijpr.2015.202.

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Khan, Belim Zishan, and Megha Sheth. "PHYSICAL ACTIVITY LEVEL AND PHYSICAL FITNESS PARAMETERS IN PHYSIOTHERAPY STUDENTS." International Journal of Physiotherapy and Research 7, no. 5 (October 11, 2019): 3247–51. http://dx.doi.org/10.16965/ijpr.2019.177.

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McCowan, Luke S. C., and Simon C. Griffith. "Nestling activity levels during begging behaviour predicts activity level and body mass in adulthood." PeerJ 2 (September 16, 2014): e566. http://dx.doi.org/10.7717/peerj.566.

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Tanaka, Yuu. "Arousal level and blink activity." Japanese journal of psychology 70, no. 1 (1999): 1–8. http://dx.doi.org/10.4992/jjpsy.70.1.

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Bukin, S. I. "TERRITORIAL LEVEL OF SUICIDAL ACTIVITY." Journal of the Grodno State Medical University 17, no. 1 (2019): 37–44. http://dx.doi.org/10.25298/2221-8785-2019-17-1-37-44.

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Brophy, Robert H., Richard L. Beauvais, Edward C. Jones, Frank A. Cordasco, and Robert G. Marx. "Measurement of Shoulder Activity Level." Clinical Orthopaedics and Related Research 439, &NA; (October 2005): 101–8. http://dx.doi.org/10.1097/01.blo.0000173255.85016.1f.

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Matsudo, Sandra M., Victor Matsudo, Douglas Andrade, Tim??teo Ara??jo, Lu??s Oliveira, Erinaldo Andrade, and Glaucia Braggion. "Environment and Physical Activity Level." Medicine & Science in Sports & Exercise 36, Supplement (May 2004): S76. http://dx.doi.org/10.1097/00005768-200405001-00361.

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Matsudo, Sandra M., Victor Matsudo, Douglas Andrade, Timóteo Araújo, Luís Oliveira, Erinaldo Andrade, and Glaucia Braggion. "Environment and Physical Activity Level." Medicine & Science in Sports & Exercise 36, Supplement (May 2004): S76. http://dx.doi.org/10.1249/00005768-200405001-00361.

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Dissertations / Theses on the topic "Activity level"

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Yin, Jie. "Probabilistic activity recognition from low-level sensors /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20YIN.

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Gurnsey, Jennifer. "Increasing the physical activity level in older women." Thesis, Wichita State University, 2012. http://hdl.handle.net/10057/5390.

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The American College of Sports Medicine (ACSM) recommends older adults (OA) spend 30min/5d/wk engaging in moderate intensity physical activity (MVPA). PURPOSE: To determine the efficacy of detailed feedback (FB) to increase OA time spent in MVPA compared to a verbal recommendation (VREC) and control (CON) group. METHODS: Sixty-eight women recruited from senior-based programs for an 8-wk, 3-intervention arm trial, were randomly assigned to 1 of 3 groups: VREC, FB, and CON. Individuals meeting ACSM recommendations were excluded. All participants wore an accelerometer (ACCEL) to monitor 8 weeks of daily physical activity. VREC were read/received ACSM recommendations similar to mass media dialogue promoting MVPA and asked to meet recommendations by the 8-wk point. FB walked 3 d/wk on a monitored indoor walking track, and on their own 2 d/wk. FB received all VREC procedures, received MVPA walking instruction (HR monitored) and weekly ACCEL feedback (time spent in MVPA and MVPA goals for the next wk). CON continued their normal activities. RESULTS: Differences were noted between all 3 groups at Week 4 (p ≤ 0.05) and Week 8 (p ≤ 0.05). This reflects improvement in both the FB and VREC as well as a greater improvement by the FB compared to VREC. FB improved 264% over 8 weeks. VREC improved 85% from baseline to Week 8. There was no change in the CON. Difference between groups with respect to meeting ACSM recommendations (yes/no) were noted (, p ≤ 0.01). The only group to improve was FB. CONCLUSIONS: Providing simple feedback significantly improved time spent in moderate intensity physical activity by the 4th week. Based on the results of this study, which indicate that the detailed feedback is more effective than recommendation alone, this walking program should be implemented by healthcare providers as a means to improve the amount of moderate intensity physical activity engaged in by older adults.
Thesis (M.A.)--Wichita State University, College of Health Professions, Dept. of Public Health Sciences
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Hagströmer, Maria. "Assessment of health-enhancing physical activity at population level /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-334-4/.

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Pal, Sandipan. "Video-based estimation of activity level for assisted living." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/21481/.

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The continual increase in the population of older adults in the next 50 years envisages an increase of dependants on the family and the Government. Assisted Living technologies are information and communication technologies to assist, improve and monitor the daily living of the old and vulnerable population by promoting greater independence and providing a safe and secure environment at a reduced cost. Most of the assisted living technologies are passive sensor-based solutions where a number of embedded or body-worn sensors are employed or connected over a network to recognize activities. Often the sensors are obtrusive and are extremely sensitive to the performance of the sensors. Visual data is contextually richer than sensor triggered firings. Visual data along with being contextual is also extremely sensitive. Since visual data is intrusive, a qualitative study among older adults within the community was carried out to get a context of the privacy concerns of having a camera within an assisted living environment. Building on the outcomes of the focus group discussions, a novel monitoring framework is proposed. Following the framework, Activity Level, as an effective metric to measure the amount of activity undertaken by an individual is proposed. Activity Level is estimated by extracting and classifying pixel-based and phase-based motion features. Experiments reveal that phase-based features perform better than pixel-based features. Experiments are carried out using the novel Sheffield Activities of Daily Living Dataset, which has been developed and made available for further computer vision research for assisted living.
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Greenall, John Patrick. "High-level activity learning and recognition in structured environments." Thesis, University of Leeds, 2012. http://etheses.whiterose.ac.uk/3231/.

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Automatic recognition of events in video is an immensly challenging problem. If solved, the number of potential domains in which such a system could be deployed is vast and growing; including traffic monitoring, surveillance, security, elderly care and semantic video search to name but a few. Much prior research in the area has focused on producing a solution that is tailored towards one of these applications, applying methods which are most appropriate given the constraints of the target domain. For the moment, this remains to some extent the only practical way to approach the problem. The aim in this thesis is to build a high-level framework for event recognition which is in the main generic and widely transferrable, yet allows domain-appropriate elements to be incorporated. A detector is constructed for low-level events which is based on dense extraction of Histograms of Optical Flow. This descriptor has only recently been adopted by the event detection community, and as such there are aspects of the features which have not been optimized. This thesis performs extensive experimentation on normalization scheme and finds that the strategy most widely in use is suboptimal compared to one of the alternatives proposed. The detector is then trained on a challenging real world domain to run in a sliding window fashion on continuous video input. A high level model which exploits temporal relations between different event types is constructed. The model is designed with transferrability and computational tractability in mind. Several methods are benchmarked for learning the distributions over time differences between pairs of events. Three different connection strategies are proposed and evaluated for creating a tree structured prior that permits fast, exact inference. An efficient iterative optimization scheme is presented for handling scenarios which contain unknown numbers of event instances. Finally, the model is extended in a Conditional Random Field framework that allows weights to be learned to balance the response from independent detectors with the pairwise temporal relationships.
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Johnson, Lori Ann. "The role of activity level for memory in the elderly." CSUSB ScholarWorks, 1997. https://scholarworks.lib.csusb.edu/etd-project/1554.

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Waldenlind, Stefan. "Forecasting Price-Level on Trades of Financial Instruments using Orderbook Activity." Thesis, KTH, Matematisk statistik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105810.

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In today’s highly competitive trading climate it is getting more important to understand the fundamentals of the orderbook and how it works in practice in order to stand out in the competition. Better knowledge of the orderbook statistics can be applied in areas such as high frequencyand execution trading. Therefore the focus of this study is to determine the probabilities of the settlement prices of financial instruments traded on a public order-driven market exchange i.e to predict the probabilities regarding whether the next executed trade will happen on the bid or on the ask side. The mathematical methods used in this study are logistic regression and Maximum Likelyhood (ML)-estimation for optimization of parameters. First the parameter matrix was optimized using orderbook data on the OMXS30 future and then use the estimated model on an out-ofsample test. Keywords: Logistic Regression, Orderbook, level-2 data
I dagens marknad råder hög konkurens vilket gör det viktigt att förstå fundamentan bakom orderboken och hur handeln med finansiella instrument fungerar i praktiken. Det utvecklas flera nya och förbättrade informationsystem och tradingalgoritmer varje dag och detta skärper konkurensen och försvårar möjligheten att tjäna pengar på tradingverksamhet. Med ökad förståelse för orderboken och dess fundamenta kan utvecklingen inom databaserad handel exempelvis exekverings- och högfrekvenshandel drivas på. Därför fokuserar jag denna studie på orderboken genom att försöka uppskatta sannolikheten för om nästkommande trade kommer att ske på köp- eller säljsidan av orderboken på en orderdriven marknad som Stockholmsbörsen. I undersökningen har logistisk regression och Maximum Likelyhood (ML)-skattning använts för att bestämma koefficienterna i den skattade statistiska modellen. Data är hämtade från OMXS30 terminen där kovariaterna är volymen på varje prisnivå för köp- respektive säljsidan i orderboken. Den skattade modellen testas på andra data än som använts för att skatta modellen. Nyckelord: Orderbok, logistisk regression, Maximum Likelyhood
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Fung, Tsz-kin, and 馮子健. "The relationship between students' participation level and attitude toward physical activity." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31959386.

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Fung, Tsz-kin. "The relationship between students' participation level and attitude toward physical activity." Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18876572.

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Powell, Suzanne Smith. "Infant temperament and cognition: Activity level, information gathering and information processing." Case Western Reserve University School of Graduate Studies / OhioLINK, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=case1057857675.

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Books on the topic "Activity level"

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(Program), Physical Best. Physical Best activity guide: Elementary level. 3rd ed. Champaign, IL: Human Kinetics, 2011.

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Schoenberg, Richard. Industry level determinants of acquisition activity. London: Imperial College Management School, 1998.

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American Alliance for Health, Physical Education, Recreation, and Dance., ed. Physical Best activity guide: Elementary level. Champaign, IL: Human Kinetics, 1999.

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American Alliance for Health, Physical Education, Recreation, and Dance., ed. Physical Best activity guide: Secondary level. Champaign, IL: Human Kinetics, 1999.

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National Association for Sport and Physical Education., ed. Physical Best activity guide: Elementary level. 2nd ed. Champaign, IL: Human Kinetics, 2005.

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Oxford Thinkers : Level 2 : Activity Book: Level 2 Activity Book. Oxford University Press, 2019.

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Oxford Thinkers : Level 5 : Activity Book: Level 5 Activity Book. Oxford University Press, 2019.

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Meyer-Dreux, S., M. Garabedian, and M. Lerasle. Trampoline: Level 2 Activity. Cle International, 1993.

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Galloway. Accion Level 3 Writing Activity. Glencoe/Mcgraw-Hill, 1993.

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Spelling Activity Workbook: Level 4. McGraw-Hill, 1998.

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Book chapters on the topic "Activity level"

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Abrams, David B., J. Rick Turner, Linda C. Baumann, Alyssa Karel, Susan E. Collins, Katie Witkiewitz, Terry Fulmer, et al. "Activity Level." In Encyclopedia of Behavioral Medicine, 22–24. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_868.

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Buchain, Patrícia Cardoso, Adriana Dias Barbosa Vizzotto, Alexandra Martini de Oliveira, Tania C. T. Ferraz Alves, and Quirino Cordeiro. "Activity Level." In Encyclopedia of Behavioral Medicine, 1–3. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-6439-6_868-2.

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Buchain, Patrícia Cardoso, Adriana Dias Barbosa Vizzotto, Alexandra Martini de Oliveira, Tania C. T. Ferraz Alves, and Quirino Cordeiro. "Activity Level." In Encyclopedia of Behavioral Medicine, 26–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_868.

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Mathias, Dietger. "Physical Activity Level." In Fit und gesund von 1 bis Hundert, 15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56307-6_11.

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Mathias, Dietger. "Physical activity level." In Staying Healthy From 1 to 100, 14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49195-9_11.

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Mathias, Dietger. "Physical Activity Level." In Fit von 1 bis Hundert, 14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44158-9_11.

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Grant, Sue, and Richard Young. "Changes in Economic Activity." In Economics a Level, 179–85. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-13606-3_20.

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Wegner, Harold C. "Purity and Activity Level Limitations." In Patent Law in Biotechnology, Chemicals & Pharmaceuticals, 208–9. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-21958-2_21.

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Jones, Paul, Louisa Huxtable-Thomas, Paul Hannon, Syahira Hamidon, and Norgainy Mohd Tawil. "Introduction to Entrepreneurial Activity in Malaysia: A Country-Level Perspective." In Entrepreneurial Activity in Malaysia, 1–10. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77753-1_1.

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Booth, Dawn Karen. "Washback Activity: At the Macro Level." In The Sociocultural Activity of High Stakes Standardised Language Testing, 217–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70446-3_10.

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Conference papers on the topic "Activity level"

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Tommelein, Iris D., and Pierrette P. Zouein. "Activity-Level Space Scheduling." In 9th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 1992. http://dx.doi.org/10.22260/isarc1992/0051.

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Patni, Varuska. "Activity level in Temnothorax rugatulus ants." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.115737.

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Younes, Rabih, Thomas L. Martin, and Mark Jones. "Activity classification at a higher level." In the 2015 ACM International Symposium. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2802083.2808405.

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Yuan, Mu, Lan Zhang, Zhengtao Wu, and Daren Zheng. "High-quality Activity-Level Video Advertising." In 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS). IEEE, 2020. http://dx.doi.org/10.1109/iwqos49365.2020.9212956.

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Sumardiyanto, Sumardiyanto, Jajat Jajat, Risma Risma, Kuston Sultoni, and Cep Ubad Abdullah. "Physical Activity Level of University Students." In 2nd International Conference on Sports Science, Health and Physical Education. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0007071908490852.

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Chatterjee, Debapriya, and Valeria Bertacco. "Activity-based refinement for abstraction-guided simulation." In 2009 IEEE International High Level Design Validation and Test Workshop (HLDVT). IEEE, 2009. http://dx.doi.org/10.1109/hldvt.2009.5340163.

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Le, Anh, Konstantinos Pelechrinis, and Prashant Krishnamurthy. "Country-level spatial dynamics of user activity." In the 2014 ACM conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2615569.2615689.

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Zhu, Yin, Erheng Zhong, Sinno Jialin Pan, Xiao Wang, Minzhe Zhou, and Qiang Yang. "Predicting user activity level in social networks." In the 22nd ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2505515.2505518.

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Zhang, Yue, Shijia Pan, Jonathon Fagert, Mostafa Mirshekari, Hae Young Noh, Pei Zhang, and Lin Zhang. "Occupant Activity Level Estimation Using Floor Vibration." In UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3267305.3274184.

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Zhang, Yue, Shijia Pan, Jonathon Fagert, Mostafa Mirshekari, Hae Young Noh, Pei Zhang, and Lin Zhang. "Vibration-Based Occupant Activity Level Monitoring System." In SenSys '18: The 16th ACM Conference on Embedded Networked Sensor Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3274783.3275177.

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Reports on the topic "Activity level"

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Liu, F., and L. A. Bush. Activity Level Change Detection for Persistent Surveillance. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada457106.

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Woskov, Paul P., S. K. Sundaram, and William E. ,. Jr Daniel. Millimeter-Wave Measurements of High Level and Low Level Activity Glass Melts. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/895763.

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Woskov, Paul P., S. K. Sundaram, and William E. Daniel, Jr. Millimeter-Wave Measurements of High Level and Low Level Activity Glass Melts. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/834817.

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Paul Woskov. Millimeter-Wave Measurements of High Level and Low Level Activity Glass Melts. Office of Scientific and Technical Information (OSTI), March 2005. http://dx.doi.org/10.2172/838307.

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Fan, Wei, and Michelle White. Personal Bankruptcy and the Level of Entrepreneurial Activity. Cambridge, MA: National Bureau of Economic Research, November 2002. http://dx.doi.org/10.3386/w9340.

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Woskov, Paul P. Millimeter-Wave High Level and Low Activity Waste Glass Research. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/893353.

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Woskov, Paul P., S. K. Sundaram, and T. Bond Calloway, Jr. Millimeter-Wave Measurements of High Level and Low Activity Glass Melts. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/833305.

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Woskov, Paul P., S. K. Sundaram, and T. Bond Calloway, Jr. Millimeter-Wave Measurements of High Level and Low Activity Glass Melts. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/833308.

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Smith, F. G. Millimeter-wave measurements to high level and low activity glass melts. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/752510.

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Patello, Gertrude K., Michael J. Truex, and Karyn D. Wiemers. Low-Activity Waste and High-Level Waste Feed Processing Data Quality Objectives. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/15002677.

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