This paper is in the following e-collection/theme issue:
Development and Evaluation of Research Methods, Instruments and Tools (744) Registered Report (791) mHealth for Data Collection and Research (1196) Tools, Programs and Algorithms (376) Fitness Trackers and Smart Pedometers/Accelerometers (665) Wearable Devices and Sensors (1133) Formative Evaluation of Digital Health Interventions (3229) Mobile Health (mhealth) (3464) Implantable Wearable Devices and Body Extensions; Smart Prostheses (10)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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