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

Journals

  1. Bai C, Wanigatunga A, Saldana S, Casanova R, Manini T, Mardini M. Are Machine Learning Models on Wrist Accelerometry Robust against Differences in Physical Performance among Older Adults?. Sensors 2022;22(8):3061 View
  2. Simonsson S, Casagrande F, Zouganeli E. Use of Clustering Algorithms for Sensor Placement and Activity Recognition in Smart Homes. IEEE Access 2023;11:9415 View
  3. Ustad A, Logacjov A, Trollebø S, Thingstad P, Vereijken B, Bach K, Maroni N. Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ Model. Sensors 2023;23(5):2368 View
  4. O’Day J, Lee M, Seagers K, Hoffman S, Jih-Schiff A, Kidziński Ł, Delp S, Bronte-Stewart H. Assessing inertial measurement unit locations for freezing of gait detection and patient preference. Journal of NeuroEngineering and Rehabilitation 2022;19(1) View
  5. Perumal T, Ramanujam E, Suman S, Sharma A, Singhal H. Internet of Things Centric-Based Multiactivity Recognition in Smart Home Environment. IEEE Internet of Things Journal 2023;10(2):1724 View
  6. RANTALAINEN T, KOIVUNEN K, PORTEGIJS E, RANTANEN T, PALMBERG L, KARAVIRTA L, CHASTIN S. Is Complexity of Daily Activity Associated with Physical Function and Life-Space Mobility among Older Adults?. Medicine & Science in Sports & Exercise 2022;54(7):1210 View
  7. Sikandar T, Rahman S, Islam D, Ali M, Mamun M, Rabbi M, Ghazali K, Altwijri O, Almijalli M, Ahamed N. Walking Speed Classification from Marker-Free Video Images in Two-Dimension Using Optimum Data and a Deep Learning Method. Bioengineering 2022;9(11):715 View
  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
  9. Sikandar T, Rabbi M, Ghazali K, Altwijri O, Almijalli M, Ahamed N. Minimum number of inertial measurement units needed to identify significant variations in walk patterns of overweight individuals walking on irregular surfaces. Scientific Reports 2023;13(1) View
  10. Kowahl N, Shin S, Barman P, Rainaldi E, Popham S, Kapur R. Accuracy and Reliability of a Suite of Digital Measures of Walking Generated Using a Wrist-Worn Sensor in Healthy Individuals: Performance Characterization Study. JMIR Human Factors 2023;10:e48270 View
  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 2024 View