Published on in Vol 7, No 2 (2019): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11270, first published .
Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study

Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study

Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study

Journals

  1. Xu Z, Diao S, Teng J, Chen Z, Feng X, Cai X, Yuan X, Zhang H, Li J, Zhang Z. Breed identification of meat using machine learning and breed tag SNPs. Food Control 2021;125:107971 View
  2. Yunusova A, Lai J, Rivera A, Hu S, Labbaf S, Rahmani A, Dutt N, Jain R, Borelli J. Assessing the Mental Health of Emerging Adults Through a Mental Health App: Protocol for a Prospective Pilot Study. JMIR Research Protocols 2021;10(3):e25775 View
  3. Davoudi A, Mardini M, Nelson D, Albinali F, Ranka S, Rashidi P, Manini T. The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation Study. JMIR mHealth and uHealth 2021;9(5):e23681 View
  4. Mardini M, Bai C, Wanigatunga A, Saldana S, Casanova R, Manini T. Age Differences in Estimating Physical Activity by Wrist Accelerometry Using Machine Learning. Sensors 2021;21(10):3352 View