A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors
Segmentation of running data into gait cycles and stance/swing phases is crucial for evaluating running biomechanics. The benefit of magneto-inertial sensors is their ability to capture data in outdoor conditions. However, state-of-the-art inertial-based methods for estimating running temporal param...
Saved in:
| Main Authors: | Rachele Rossanigo, Marco Caruso, Elena Dipalma, Cristine Agresta, Lucia Ventura, Franca Deriu, Andrea Manca, Taian M. Vieira, Valentina Camomilla, Andrea Cereatti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10843705/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating Sparse Inertial Measurement Unit Configurations for Inferring Treadmill Running Motion
by: Mackenzie N. Pitts, et al.
Published: (2025-03-01) -
Instrumenting Parkrun: Usefulness and Validity of Inertial Sensors
by: Rachel Mason, et al.
Published: (2024-12-01) -
Running Gait Complexity During an Overground, Mass-Participation Five-Kilometre Run
by: Ben Jones, et al.
Published: (2024-11-01) -
Research progress in the relationship between packaging structures and service performance of MEMS inertial sensors
by: Zhaoyang Liu, et al.
Published: (2025-07-01) -
Distributed Strapdown Inertial Navigation System Error and Inertial Sensory Bias Compensation
by: Nargess Sadeghzadeh Nokhodberiz, et al.
Published: (2024-02-01)