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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

• Authors : Guo Z; Yuncheng University, Yuncheng, 044000, China.; Wang T

Subjects: Accelerometry*/Accelerometry*/Accelerometry*/methods ; Accelerometry*/Accelerometry*/Accelerometry*/instrumentation ; Energy Metabolism*/Energy Metabolism*/Energy Metabolism*/physiology

• Source: Scientific reports [Sci Rep] 2025 Jun 03; Vol. 15 (1), pp. 19423. Date of Electronic Publication: 2025 Jun 03.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches.

• Authors : Ramli AA; Department of Computer Science, School of Engineering, University of California, Davis, CA 95616, USA.; Liu X

Subjects: Muscular Dystrophy, Duchenne* ; Deep Learning*; Adolescent

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Feb 08; Vol. 24 (4). Date of Electronic Publication: 2024 Feb 08.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Recognition of Gait Alterations Induced by Alcohol-Impairment Simulation Goggles Using Smartphone Accelerometer Signals.

• Authors : Marciniak, Paweł¹ (AUTHOR) ; Zubert, Mariusz¹ (AUTHOR)

• Source: Sensors (14248220). May2026, Vol. 26 Issue 10, p3038. 25p.

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Towards automated behaviour monitoring in wildlife: a review of machine learning approaches using accelerometer data

• Authors : Lorène Jeantet; W. Chris Oosthuizen; Damien Chevallier

Subjects: Bio-logging; Deep learning; Machine learning

• Source: PeerJ, Vol 14, p e21069 (2026)

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Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data.

• Authors : Luu L; Digital Health, Oncology R&D, AstraZeneca, Gaithersburg, MD 20878, USA.; Pillai A

Subjects: Deep Learning*; Accelerometry/Accelerometry/Accelerometry/methods ; Algorithms

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 May 24; Vol. 22 (11). Date of Electronic Publication: 2022 May 24.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Impact of cross-validation designs on cattle behavior prediction using machine learning and deep learning models with tri-axial accelerometer data

• Authors : Jin Wang; Ziwen Yu; Ricardo C. Chebel

Subjects: Accelerometer; Cattle behavior; Cross-validation design

• Source: Smart Agricultural Technology, Vol 12, Iss , Pp 101483- (2025)

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Deep Learning for Classifying Physical Activities from Accelerometer Data.

• Authors : Nunavath V; Department of Science and Industry Systems, University of South-Eastern Norway, Hasbergsvei 36, Krona, 3616 Kongsberg, Norway.; Johansen S

Subjects: Deep Learning* ; Diabetes Mellitus, Type 2*; Accelerometry

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Aug 18; Vol. 21 (16). Date of Electronic Publication: 2021 Aug 18.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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The Impact of the Accelerometer Sampling Rate on the Performance of Machine and Deep Learning Models in Wearable Fall-Detection Systems.

• Authors : Villa, Manny^1,2 (AUTHOR) ; Casilari, Eduardo² (AUTHOR)

• Source: Sensors (14248220). Jan2026, Vol. 26 Issue 1, p162. 19p.

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Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach.

• Authors : Gholami M; Menrva Research Group, Schools of Mechatronic Systems Engineering & Engineering Science, Simon Fraser University, Metro Vancouver, BC V5A 1S6, Canada.; Napier C

Subjects: Accelerometry* ; Deep Learning* ; Gait Analysis*

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 May 22; Vol. 20 (10). Date of Electronic Publication: 2020 May 22.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications

• Authors : Minh Long Hoang; Guido Matrella; Dalila Giannetto ...

Subjects: Artificial intelligence; vision-based system; Chemical technology

• Source: Sensors (Basel)Sensors, Vol 25, Iss 12, p 3816 (2025)

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