title: Accurate walking and running speed estimation using wrist inertial data.
abstract: In this work, we present an accelerometry-based device for robust running speed estimation integrated into a watch-like device. The estimation is based on inertial data processing, which consists in applying a leg-and-arm dynamic motion model to 3D accelerometer signals. This motion model requires a calibration procedure that can be done either on a known distance or on a constant speed period. The protocol includes walking and running speeds between 1.8km/h and 19.8km/h. Preliminary results based on eleven subjects are characterized by unbiased estimations with 2(nd) and 3(rd) quartiles of the relative error dispersion in the interval ±5%. These results are comparable to accuracies obtained with classical foot pod devices.
authors.forename: M
authors.initials: M
authors.lastname: Bertschi
authors.forename: P
authors.initials: P
authors.lastname: Celka
authors.forename: R
authors.initials: R
authors.lastname: Delgado-Gonzalo
authors.forename: M
authors.initials: M
authors.lastname: Lemay
authors.forename: E M
authors.initials: EM
authors.lastname: Calvo
authors.forename: O
authors.initials: O
authors.lastname: Grossenbacher
authors.forename: Ph
authors.initials: P
authors.lastname: Renevey
mesh_terms: D061725:Accelerometry; D005528:Foot; D006801:Humans; D012420:Running; D016138:Walking; D014953:Wrist