biomechZoo: An open-source toolbox for the processing, analysis, and visualization of biomechanical movement data

Dixon, Philippe C.; Loh, Jonathan; Michaud-Paquette, Yannick; Pearsall, David J.

doi:10.1016/j.cmpb.2016.11.007

Cited by 30 publications

(14 citation statements)

References 19 publications

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“…All motion capture data was imported into Matlab using the BiomechZoo system toolbox (Dixon, Loh, Michaud-Paquette, & Pearsall, 2017). Raw trajectory data collected via the motion capture system were filtered with a recursive low-pass Butterworth filter at 6 Hz.…”

Section: Balance Datamentioning

confidence: 99%

The Effects of Age and Hearing Loss on Dual-Task Balance and Listening

Bruce¹,

Aponte

St-Onge

et al. 2017

The Journals of Gerontology: Series B

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Section: Balance Datamentioning

confidence: 99%

The Effects of Age and Hearing Loss on Dual-Task Balance and Listening

Bruce¹,

Aponte

St-Onge

et al. 2017

The Journals of Gerontology: Series B

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“…The last decade has been marked by the development of several powerful open-source software programs in biomechanics. Examples include: OpenSim (Seth et al, 2018), SimBody (Sherman et al, 2011), Biordb (Michaud & Begon, 2021a), BiomechZoo (Dixon et al, 2017), Pinocchio (Carpentier et al, 2019), FreeBody (Cleather & Bull, 2015), CusToM (Muller et al, 2019), as well as many others. However, many of these tools are rather specific (e.g., musculoskeletal modelling, neuromuscular optimization, etc.)…”

Section: Statement Of Needmentioning

confidence: 99%

Kinetics Toolkit: An Open-Source Python Package to Facilitate Research in Biomechanics

Chénier¹

2021

JOSS

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Kinetics Toolkit is a Python package for generic biomechanical analysis of human motion that is easily accessible by new programmers. The only prerequisite for using this toolkit is having minimal to moderate skills in Python and Numpy.While Kinetics Toolkit provides a dedicated class for containing and manipulating data (Time Series), it loosely follows a procedural programming paradigm where processes are grouped as interrelated functions in different submodules, which is consistent with how people are generally introduced to programming. Each function has a limited and well-defined scope, making Kinetics Toolkit generic and expandable. Particular care is given to documentation, with extensive tutorials and API references. Special attention is also given to interoperability with other software programs by using Pandas Dataframes (and therefore CSV files, Excel files, etc.), JSON files or C3D files as intermediate data containers.Kinetics Toolkit is accessible at https://kineticstoolkit.uqam.ca and is distributed via conda and pip.

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“…For MATLAB, the Kinematics and Inverse Dynamics toolbox (https://www.mathworks.com/matlabcentral/fileexchange/58021-3d-kinematics-and-inverse-dynamics) can be utilized in investigating joint kinematics and dynamics. Moreover, biomechZoo, which help users analyze, process, and visualize motion data from various sensors 33 could support researchers aiming to explore this data set.…”

Section: Usage Notesmentioning

confidence: 99%

A database of human gait performance on irregular and uneven surfaces collected by wearable sensors

et al. 2020

Self Cite

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Gait analysis has traditionally relied on laborious and lab-based methods. Data from wearable sensors, such as Inertial Measurement Units (IMU), can be analyzed with machine learning to perform gait analysis in real-world environments. This database provides data from thirty participants (fifteen males and fifteen females, 23.5 ± 4.2 years, 169.3 ± 21.5 cm, 70.9 ± 13.9 kg) who wore six IMUs while walking on nine outdoor surfaces with self-selected speed (16.4 ± 4.2 seconds per trial). This is the first publicly available database focused on capturing gait patterns of typical real-world environments, such as grade (up-, down-, and cross-slopes), regularity (paved, uneven stone, grass), and stair negotiation (up and down). As such, the database contains data with only subtle differences between conditions, allowing for the development of robust analysis techniques capable of detecting small, but significant changes in gait mechanics. With analysis code provided, we anticipate that this database will provide a foundation for research that explores machine learning applications for mobile sensing and real-time recognition of subtle gait adaptations.

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biomechZoo: An open-source toolbox for the processing, analysis, and visualization of biomechanical movement data

Cited by 30 publications

References 19 publications

The Effects of Age and Hearing Loss on Dual-Task Balance and Listening

The Effects of Age and Hearing Loss on Dual-Task Balance and Listening

Kinetics Toolkit: An Open-Source Python Package to Facilitate Research in Biomechanics

A database of human gait performance on irregular and uneven surfaces collected by wearable sensors

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