This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (990) Evaluation and Research Methodology for mHealth (219) Fitness Trackers and Smart Pedometers/Accelerometers (610) Innovations and Technology for Physical Activity Education (814) Physical Activity for Older People (222) mHealth for Data Collection and Research (1080) mHealth for Wellness, Behavior Change and Prevention (3093)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23681, first published .
The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study

Authors of this article:

Anis Davoudi1 Author Orcid Image ;   Mamoun T Mardini2 Author Orcid Image ;   David Nelson3 Author Orcid Image ;   Fahd Albinali3 Author Orcid Image ;   Sanjay Ranka4 Author Orcid Image ;   Parisa Rashidi1 Author Orcid Image ;   Todd M Manini2 Author Orcid Image
Article Authors Cited by (24) Tweetations (4) Metrics

Journals

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  8. Calvillo-Arbizu J, Naranjo-Hernández D, Barbarov-Rostán G, Talaminos-Barroso A, Roa-Romero L, Reina-Tosina J. A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home. International Journal of Environmental Research and Public Health 2021;18(21):11730 View
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  11. Konak O, van de Water R, Döring V, Fiedler T, Liebe L, Masopust L, Postnov K, Sauerwald F, Treykorn F, Wischmann A, Gjoreski H, Luštrek M, Arnrich B. HARE: Unifying the Human Activity Recognition Engineering Workflow. Sensors 2023;23(23):9571 View
  12. D’arco L, Mccalmont G, Wang H, Zheng H. Application of Smart Insoles for Recognition of Activities of Daily Living: A Systematic Review. ACM Transactions on Computing for Healthcare 2024;5(1):1 View
  13. Barua A, Jiang X, Fuller D. The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer. BioMedical Engineering OnLine 2024;23(1) View
  14. Hossain M, LaMunion S, Crouter S, Melanson E, Sazonov E. A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor. Sensors 2024;24(10):3046 View
  15. Camerlingo N, Cai X, Adamowicz L, Welbourn M, Psaltos D, Zhang H, Messere A, Selig J, Lin W, Sheriff P, Demanuele C, Santamaria M, Karahanoglu F. Measuring gait parameters from a single chest-worn accelerometer in healthy individuals: a validation study. Scientific Reports 2024;14(1) View
  16. Inoue M, Sugiura S, Takeda T, Hoshino T, Shimizu K, Inage K, Shiga Y, Okuyama K, Ohtori S, Orita S. Evaluating the Correlation between Eyeglass-Type Wearable Device Measurements and Subjective Physical Activity Assessments. Cureus 2024 View
  17. Ortiz B, Gupta V, Kumar R, Jalin A, Cao X, Ziegenbein C, Singhal A, Tewari M, Choi S. Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care. JMIR mHealth and uHealth 2024;12:e59587 View
  18. Teng S, Kim J, Jeon S, Gil H, Lyu J, Chung E, Kim K, Nam Y. Analyzing Optimal Wearable Motion Sensor Placement for Accurate Classification of Fall Directions. Sensors 2024;24(19):6432 View
  19. Xiao S, Wang Z, Tang C, Huang Z. A Dual-Stream Fusion Network for Human Energy Expenditure Estimation with Wearable Sensor. International Journal of Computational Intelligence and Applications 2025;24(01) View
  20. O’Neill C, Prince S, Mitra M, Reed J. Considerations for Assessing Physical Activity in Those at Risk of and Living With Cardiovascular Disease. Canadian Journal of Cardiology 2025;41(3):553 View
  21. Uhlenberg L, Ole Haeusler L, Amft O. SynHAR: Augmenting Human Activity Recognition With Synthetic Inertial Sensor Data Generated From Human Surface Models. IEEE Access 2024;12:194839 View

Books/Policy Documents

  1. Shdefat A, Mostafa N, Salman M, Kotb Y, Elsayed F. Intelligent Systems, Blockchain, and Communication Technologies. View

Conference Proceedings

  1. Javeed M, Batool M. 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST). Physical Locomotion Detection using pre- classification for Muscles monitoring View
  2. Wang X, Wang Y, Lu C, Yu H, He H, Li Z. 2021 International Conference on Advanced Mechatronic Systems (ICAMechS). A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism View