Cargando…
Step Length Estimation Using Handheld Inertial Sensors
In this paper a novel step length model using a handheld Micro Electrical Mechanical System (MEMS) is presented. It combines the user's step frequency and height with a set of three parameters for estimating step length. The model has been developed and trained using 12 different subjects: six...
Autores principales: | Renaudin, Valérie, Susi, Melania, Lachapelle, Gérard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444061/ https://www.ncbi.nlm.nih.gov/pubmed/23012503 http://dx.doi.org/10.3390/s120708507 |
Ejemplares similares
-
Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users
por: Susi, Melania, et al.
Publicado: (2013) -
Adaptive Inertial Sensor-Based Step Length Estimation Model
por: Vezočnik, Melanija, et al.
Publicado: (2022) -
Solving Monocular Visual Odometry Scale Factor with Adaptive Step Length Estimates for Pedestrians Using Handheld Devices
por: Antigny, Nicolas, et al.
Publicado: (2019) -
Inertial Sensor-Based Step Length Estimation Model by Means of Principal Component Analysis
por: Vezočnik, Melanija, et al.
Publicado: (2021) -
Bilateral step length estimation using a single inertial measurement unit attached to the pelvis
por: Köse, Alper, et al.
Publicado: (2012)