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Monitoring Age-Related Changes in Gait Complexity in the Wild with a Smartphone Accelerometer System.

• Authors : Di Bacco VE; School of Kinesiology and Health Science, York University, Toronto, ON M3J 1P3, Canada.; Gage WH

Subjects: Smartphone* ; Gait*/Gait*/Gait*/physiology ; Accelerometry*/Accelerometry*/Accelerometry*/instrumentation

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Nov 08; Vol. 24 (22). Date of Electronic Publication: 2024 Nov 08.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Feasibility, reliability and validity of self-measurement of knee range-of-motion using an accelerometer-based smartphone application by patients with total knee arthroplasty.

• Authors : Chew ES; Department of Physiotherapy, Singapore General Hospital, Singapore, Singapore.; Woon EL

Subjects: Arthroplasty, Replacement, Knee* ; Smartphone* ; Range of Motion, Articular*

• Source: PloS one [PLoS One] 2024 Oct 03; Vol. 19 (10), pp. e0307219. Date of Electronic Publication: 2024 Oct 03 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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A hybrid deep approach to recognizing student activity and monitoring health physique based on accelerometer data from smartphones.

• Authors : Xiao L; Chengdu Technological University, Chengdu, 610000, China.; Graduate School of Business Faculty, Malaysia SEGi University, 47810, Petaling Jaya, Malaysia.

Subjects: Smartphone* ; Accelerometry*/Accelerometry*/Accelerometry*/methods ; Accelerometry*/Accelerometry*/Accelerometry*/instrumentation

• Source: Scientific reports [Sci Rep] 2024 Jun 18; Vol. 14 (1), pp. 14006. Date of Electronic Publication: 2024 Jun 18.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer.

• Authors : Barua A; Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, A1B 1V6, Canada.; Jiang X

Subjects: Smartphone* ; Heuristics*; Humans

• Source: Biomedical engineering online [Biomed Eng Online] 2024 Feb 17; Vol. 23 (1), pp. 21. Date of Electronic Publication: 2024 Feb 17.Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X

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A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity.

• Authors : Ross MK; Department of Psychiatry, University of Illinois at Chicago, Chicago, IL 60612, USA.; Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL 60612, USA.

Subjects: Depression*/Depression*/Depression*/diagnosis ; Smartphone*; Humans

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Feb 01; Vol. 23 (3). Date of Electronic Publication: 2023 Feb 01.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Accelerometers in Our Pocket: Does Smartphone Accelerometer Technology Provide Accurate Data?

• Authors : Grouios G; Department of Physical Education and Sport Science, Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece.; Ziagkas E

Subjects: Smartphone* ; Movement*; Humans

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 24; Vol. 23 (1). Date of Electronic Publication: 2022 Dec 24.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data.

• Authors : Huang EJ; Department of Mathematics and Statistics, Wake Forest University, Winston-Salem, NC 27106, USA.; Yan K

Subjects: Exercise* ; Smartphone*; Accelerometry/Accelerometry/Accelerometry/methods

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Mar 29; Vol. 22 (7). Date of Electronic Publication: 2022 Mar 29.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Experimental Evaluation of Smartphone Accelerometer and Low-Cost Dual Frequency GNSS Sensors for Deformation Monitoring.

• Authors : Lăpădat AM; Faculty of Civil Engineering, Delft University of Technology, 2628 CN Delft, The Netherlands.; Tiberius CCJM

Subjects: Acceleration* ; Smartphone*; Accelerometry

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Nov 28; Vol. 21 (23). Date of Electronic Publication: 2021 Nov 28.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Algorithmic extraction of smartphone accelerometer-derived mechano-biological descriptors of resistance exercise is robust to changes in intensity and velocity.

• Authors : Viecelli C; Institute of Molecular Systems Biology, ETH Zurich, Zurich, Zurich, Switzerland.; Aguayo D

Subjects: Smartphone*; Accelerometry/Accelerometry/Accelerometry/*methods ; Biochemical Phenomena/Biochemical Phenomena/Biochemical Phenomena/*physiology

• Source: PloS one [PLoS One] 2021 Jul 20; Vol. 16 (7), pp. e0254164. Date of Electronic Publication: 2021 Jul 20 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Use of a Single-Item Ecological Momentary Assessment to Measure Daily Exercise: Agreement with Accelerometer-Measured Exercise.

• Authors : Sundquist, Kevin¹ (AUTHOR) ; Schwartz, Joseph E.^2,3 (AUTHOR) ; Burg, Matthew M.⁴ (AUTHOR)

• Source: Sensors (14248220). Feb2024, Vol. 24 Issue 3, p946. 12p.

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