Data for: Artificial Neural Network Based Ankle Joint Angle Estimation Using Instrumented Foot Insoles

Published: 3 Aug 2019 | Version 1 | DOI: 10.17632/5kkzjvpr2b.1
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Description of this data

The shared data consists of Ground Reaction Forces (GRF) and Ankle Angles used in this work. GRFs are in Newtons (N) and Ankle angles are in degrees (°).

The GRFs are shared as GRF left and GRF right denoting the left and right gait cycles (GRF left, GRF right). Similarly, ankle angles are shared as ankle angle left and ankle angle right (ankle angle left, ankle angle right). There are 10 samples of data for each data type (ankle angle left, ankle angle right, GRF left, GRF right). Each sample denote data from stance gait cycle. In the shared excel file, data is organised in 4 sheets. Each sheet denotes the below;

Sheet 1 (ankle_angle_left)- consists of 10 samples of ankle angle extracted from left leg

Sheet 2 (ankle_angle_right)- consists of 10 samples of ankle angle extracted from right leg

Sheet 3 (GRF_left)- consists of 10 samples of GRFs extracted from left leg

Sheet 4 (GRF_right)- consists of 10 samples of GRFs extracted from right leg

Within each sheet, column 1 to 10 denotes data from Sample 1 to Sample 10 respectively.

Experiment data files

This data is associated with the following publication:

Artificial neural network based ankle joint angle estimation using instrumented foot insoles

Published in: Biomedical Signal Processing and Control

Latest version

  • Version 1

    2019-08-03

    Published: 2019-08-03

    DOI: 10.17632/5kkzjvpr2b.1

    Cite this dataset

    Gopalai, Alpha Agape; Sivakumar, Saaveethya (2019), “Data for: Artificial Neural Network Based Ankle Joint Angle Estimation Using Instrumented Foot Insoles”, Mendeley Data, v1 http://dx.doi.org/10.17632/5kkzjvpr2b.1

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Categories

Measurement Technique of Gait, Gait

Licence

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