Published on 17.08.17 in Vol 5, No 8 (2017): August
Works citing "Quantifying Human Movement Using the Movn Smartphone App: Validation and Field Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7167):
(note that this is only a small subset of citations)
-
Mowforth OD, Davies BM, Kotter MR. The Use of Smart Technology in an Online Community of Patients With Degenerative Cervical Myelopathy. JMIR Formative Research 2019;3(2):e11364
CrossRef -
Nittas V, Lun P, Ehrler F, Puhan MA, Mütsch M. Electronic Patient-Generated Health Data to Facilitate Disease Prevention and Health Promotion: Scoping Review. Journal of Medical Internet Research 2019;21(10):e13320
CrossRef -
Zhao J, Mackay L, Chang K, Mavoa S, Stewart T, Ikeda E, Donnellan N, Smith M. Visualising Combined Time Use Patterns of Children’s Activities and Their Association with Weight Status and Neighbourhood Context. International Journal of Environmental Research and Public Health 2019;16(5):897
CrossRef -
Hardy J, Veinot TC, Yan X, Berrocal VJ, Clarke P, Goodspeed R, Gomez-Lopez IN, Romero D, Vydiswaran VV. User acceptance of location-tracking technologies in health research: Implications for study design and data quality. Journal of Biomedical Informatics 2018;79:7
CrossRef -
Kim SH, Kim JW, Park J, Shin MJ, Choi M. Predicting Energy Expenditure During Gradient Walking With a Foot Monitoring Device: Model-Based Approach. JMIR mHealth and uHealth 2019;7(10):e12335
CrossRef -
Silva AG, Simões P, Queirós A, Rodrigues M, Rocha NP. Mobile Apps to Quantify Aspects of Physical Activity: a Systematic Review on its Reliability and Validity. Journal of Medical Systems 2020;44(2)
CrossRef -
Direito A, Tooley M, Hinbarji M, Albatal R, Jiang Y, Whittaker R, Maddison R. Tailored Daily Activity: An Adaptive Physical Activity Smartphone Intervention. Telemedicine and e-Health 2020;26(4):426
CrossRef -
Goodspeed R, Yan X, Hardy J, Vydiswaran VV, Berrocal VJ, Clarke P, Romero DM, Gomez-Lopez IN, Veinot T. Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study. JMIR mHealth and uHealth 2018;6(8):e168
CrossRef -
Stålesen J, Westergren T, Herman Hansen B, Berntsen S. A Mapping Review of Physical Activity Recordings Derived From Smartphone Accelerometers. Journal of Physical Activity and Health 2020;17(11):1184
CrossRef -
Argent R, Hetherington-Rauth M, Stang J, Tarp J, Ortega FB, Molina-Garcia P, Schumann M, Bloch W, Cheng S, Grøntved A, Brønd JC, Ekelund U, Sardinha LB, Caulfield B. Recommendations for Determining the Validity of Consumer Wearables and Smartphones for the Estimation of Energy Expenditure: Expert Statement and Checklist of the INTERLIVE Network. Sports Medicine 2022;52(8):1817
CrossRef -
Prado RCR, Knebel MTG, Ribeiro EHC, Teixeira IP, Sasaki JE, Araújo LVD, Guerra PH, Florindo AA. Smartphone apps for tracking physical activity and sedentary behavior: A criterion validity review. Revista Brasileira de Atividade Física & Saúde 2022;27:1
CrossRef -
Koh K, Hyder A, Karale Y, Kamel Boulos MN. Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health. Remote Sensing 2022;14(13):2996
CrossRef -
Pontin F, Lomax N, Clarke G, Morris MA. Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. International Journal of Environmental Research and Public Health 2021;18(21):11476
CrossRef -
Das S, Nandi D, Neogi B. Design Analysis of Prosthetic Unilateral Transtibial Lower Limb with Gait Coordination. Prosthesis 2023;5(2):575
CrossRef