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

Fitness Trackers and Smart Pedometers/Accelerometers (571) New Methods (963) Tools, Programs and Algorithms (275) mHealth for Wellness, Behavior Change and Prevention (2922) Wearable Devices and Sensors (903)

Published on in Vol 6, No 4 (2018): April

A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation

A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation

A Novel Algorithm for Determining the Contextual Characteristics of Movement Behaviors by Combining Accelerometer Features and Wireless Beacons: Development and Implementation

Authors of this article:

Daniele Magistro1, 2 Author Orcid Image ;   Salvatore Sessa3 Author Orcid Image ;   Andrew P Kingsnorth1, 2 Author Orcid Image ;   Adam Loveday1, 2 Author Orcid Image ;   Alessandro Simeone4 Author Orcid Image ;   Massimiliano Zecca2, 5 Author Orcid Image ;   Dale W Esliger1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (26) Metrics

Journals

  1. Marini G, Tag B, Goncalves J, Velloso E, Jurdak R, Capurro D, McCarthy C, Shearer W, Kostakos V. Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation. JMIR mHealth and uHealth 2020;8(10):e19874 View
  2. Dempsey P, Hadgraft N, Winkler E, Clark B, Buman M, Gardiner P, Owen N, Lynch B, Dunstan D. Associations of context-specific sitting time with markers of cardiometabolic risk in Australian adults. International Journal of Behavioral Nutrition and Physical Activity 2018;15(1) View
  3. Clark B, Hadgraft N, Sugiyama T, Winkler E. Measuring Time in the Office Using Bluetooth Sensors: Feasibility and Validity Considerations. Journal for the Measurement of Physical Behaviour 2019;2(1):36 View
  4. Simeone A, Caggiano A, Boun L, Grant R. Cloud-based platform for intelligent healthcare monitoring and risk prevention in hazardous manufacturing contexts. Procedia CIRP 2021;99:50 View
  5. Pollard B, McDonald G, Held F, Engelen L. Stop motion: using high resolution spatiotemporal data to estimate and locate stationary and movement behaviour in an office workplace. Ergonomics 2022;65(5):675 View
  6. Gómez-de-Gabriel J, Rey-Merchán M, López-Arquillos A, Fernández-Madrigal J, Xiao X. Monitoring Worker Exposure to COVID-19 and Other Occupational Risks Using BLE Beacons. Journal of Sensors 2022;2022:1 View
  7. Lovon-Melgarejo J, Castillo-Cara M, Huarcaya-Canal O, Orozco-Barbosa L, Garcia-Varea I. Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms. IEEE Access 2019;7:26123 View

Books/Policy Documents

  1. Vagnetti R, Camp N, Story M, Ait-Belaid K, Bamforth J, Zecca M, Di Nuovo A, Mitra S, Magistro D. Social Robotics. View