An optimised algorithm for accurate steps counting from smart-phone accelerometry
Step counting from smart-phones allows a wide range of applications related to fitness and health. Estimating steps from phones' accelerometers is challenging because of the multitude of ways a smart-phone can be carried. We focus our work on the windowed peak detection algorithm, which has pre...
Main Authors: | Salvi, D, Velardo, C, Brynes, J, Tarassenko, L |
---|---|
Format: | Conference item |
Published: |
IEEE
2018
|
Similar Items
-
Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm
by: Benjamin D. Maylor, et al.
Published: (2022-12-01) -
Accelerometry-Based Step Count Validation for Horse Movement Analysis During Stall Confinement
by: Samantha L. Steinke, et al.
Published: (2021-06-01) -
Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones
by: KARDI TEKNOMO, et al.
Published: (2014-12-01) -
Robust Step Counting for Inertial Navigation with Mobile Phones
by: Germán Rodríguez, et al.
Published: (2018-09-01) -
Algorithmic comparison of patient-reported blood glucose diary records with meters’ memory in gestational diabetes
by: Dario Salvi, et al.
Published: (2020-01-01)