![]() Center for Machine Learning and Intelligent Systems |
About
Citation Policy
Donate a Data Set
Contact
View ALL Data Sets |
Source: Dr. Abdulkadir Gumuscu, agumuscu '@' harran.edu.tr, Harran University Electrical and Electronics Engineering Department, Sanliurfa, Turkey Data Set Information: This data set was created by calculating the walking parameters of a total of 16 different volunteers, 7 female and 9 male. The volunteers of 16 volunteers ranged between 20 and 34 years old, and their weight ranged from 53 to 95. In order to calculate each walking parameter, people were asked to walk the 30-meter long course for three rounds. The shared file contains X and Y data. X represents gait data and y represents person information for the relevant sample. Attribute Information: Gait Data consists of the following parameters.
Relevant Papers: Gumuscu A . 'Improvement of Wearable Gait Analysis Sensor based Human Classification using Feature Selection Algorithms '. Firat University Journal of Engineering Science 31 (2019 ): 463-471. ([Web Link])
Citation Request: Gumuscu A . 'Improvement of Wearable Gait Analysis Sensor based Human Classification using Feature Selection Algorithms '. Firat University Journal of Engineering Science 31 (2019 ): 463-471. ([Web Link]) |
Supported By: |
![]() |
In Collaboration With: |
![]() |