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
.

Journals
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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