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

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

Luca Lonini, Aakash Gupta, Susan Deems-Dluhy, Shenan Hoppe-Ludwig, Konrad Kording, Arun Jayaraman

JMIR Rehabil Assist Technol 2017 (Aug 10); 4(2):e8

According to Crossref, the following articles are citing this article (DOI 10.2196/rehab.7317):

(note that this is only a small subset of citations)

Sczuka KS, 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
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Gasparri GM, Luque J, Lerner ZF. Proportional Joint-Moment Control for Instantaneously Adaptive Ankle Exoskeleton Assistance. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019;27(4):751
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Davoudi A, Mardini MT, Nelson D, Albinali F, Ranka S, Rashidi P, Manini TM. 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
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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
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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
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Hughes LD, Bencsik M, Bisele M, Barnett CT. Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach. Sensors 2023;23(22):9241
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Lanotte F, O’Brien MK, Jayaraman A. AI in Rehabilitation Medicine: Opportunities and Challenges. Annals of Rehabilitation Medicine 2023;47(6):444
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