This paper is in the following e-collection/theme issue:
Development and Evaluation of Research Methods, Instruments and Tools (828) Mobile Health (mhealth) (3687) Tools, Programs and Algorithms (416) mHealth for Data Collection and Research (1274) Wearable Devices and Sensors (1223) Fitness Trackers and Smart Pedometers/Accelerometers (696) Formative Evaluation of Digital Health Interventions (3499) Registered Report (857) Implantable Wearable Devices and Body Extensions; Smart Prostheses (11)Published on in Vol 8 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/50035, first published
.

Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
Authors of this article:
Felix Kluge1
;
Yonatan E Brand2
;
M Encarna Micó-Amigo3
;
Stefano Bertuletti4
;
Ilaria D'Ascanio5
;
Eran Gazit6
;
Tecla Bonci7
;
Cameron Kirk3
;
Arne Küderle8
;
Luca Palmerini5, 9
;
Anisoara Paraschiv-Ionescu10
;
Francesca Salis4
;
Abolfazl Soltani10
;
Martin Ullrich8
;
Lisa Alcock3, 11
;
Kamiar Aminian10
;
Clemens Becker12, 13
;
Philip Brown14
;
Joren Buekers15, 16, 17
;
Anne-Elie Carsin15, 16, 17
;
Marco Caruso4
;
Brian Caulfield18, 19
;
Andrea Cereatti4
;
Lorenzo Chiari5, 9
;
Carlos Echevarria3, 20
;
Bjoern Eskofier8
;
Jordi Evers21
;
Judith Garcia-Aymerich15, 16, 17
;
Tilo Hache1
;
Clint Hansen22
;
Jeffrey M Hausdorff6, 23, 24, 25, 26
;
Hugo Hiden14
;
Emily Hume27
;
Alison Keogh18, 19
;
Sarah Koch15, 16, 17
;
Walter Maetzler22
;
Dimitrios Megaritis27
;
Martijn Niessen21
;
Or Perlman2, 23
;
Lars Schwickert12
;
Kirsty Scott7
;
Basil Sharrack28, 29
;
David Singleton18, 19
;
Beatrix Vereijken30
;
Ioannis Vogiatzis27
;
Alison Yarnall3, 11, 14
;
Lynn Rochester3, 11, 14
;
Claudia Mazzà7
;
Silvia Del Din3, 11
;
Arne Mueller1
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