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

Assistive Technologies (150) Fitness Trackers and Smart Pedometers/Accelerometers (665)

Published on in Vol 4, No 2 (2017): Jul-Dec

Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models

Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models

Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models

Authors of this article:

Luca Lonini1, 2 Author Orcid Image ;   Aakash Gupta1 Author Orcid Image ;   Susan Deems-Dluhy1 Author Orcid Image ;   Shenan Hoppe-Ludwig1 Author Orcid Image ;   Konrad Kording2 Author Orcid Image ;   Arun Jayaraman1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

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  1. Sczuka K, Schwickert L, Becker C, Klenk J. Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study. Journal of Medical Internet Research 2020;22(4):e13961 View
  2. Gasparri G, Luque J, Lerner Z. Proportional Joint-Moment Control for Instantaneously Adaptive Ankle Exoskeleton Assistance. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019;27(4):751 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. Benner S, Glapa K, Hoffmann R, Greitemann B. Aktuelle Entwicklungen in der Orthesenversorgung für die untere Extremität. Orthopädie und Unfallchirurgie up2date 2023;18(02):177 View
  5. Benner S, Glapa K, Hoffmann R, Greitemann B. Aktuelle Entwicklungen in der Orthesenversorgung für die untere Extremität. Physikalische Medizin, Rehabilitationsmedizin, Kurortmedizin 2023;33(05):293 View
  6. Hughes L, Bencsik M, Bisele M, Barnett C. Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach. Sensors 2023;23(22):9241 View
  7. Lanotte F, O’Brien M, Jayaraman A. AI in Rehabilitation Medicine: Opportunities and Challenges. Annals of Rehabilitation Medicine 2023;47(6):444 View
  8. Lanotte F, Okita S, O’Brien M, Jayaraman A. Enhanced gait tracking measures for individuals with stroke using leg-worn inertial sensors. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  9. Jaworski J, Makowski B, Weaver M, Seils M, Scheid J. The Effect of Assistive Devices on the Accuracy of Fitbits in Healthy Individuals: A Brief Report. International Journal of Environmental Research and Public Health 2025;22(7):1100 View
  10. van der Kooij H, van Asseldonk E, Sartori M, Basla C, Esser A, Riener R. AI in therapeutic and assistive exoskeletons and exosuits: Influences on performance and autonomy. Science Robotics 2025;10(104) View