User Identification From Walking Activity - Datasets

RDF:

User Identification From Walking Activity

The dataset collects data from an Android smartphone positioned in the chest pocket from 22 participants walking in the wild over a predefined path.

Field	Value
Author	MCI Machine Learning Repository
Last Updated	September 17, 2021, 10:49 (CST)
Created	September 17, 2021, 10:49 (CST)
Area	"N/A"
Associated Tasks	"Classification
Attribute Characteristics	"Real"
DPA_DateImported	212601019
DPA_former_id	d07d465d-3777-4521-bf13-fec8f4b76677
DPA_former_name	user-identification-from-walking-activity
DPA_former_owner_org	aac07418-7ef8-49ab-b0b2-e4e75a5379fe
DPA_former_site	https://scidm.nchc.org.tw
Data Set Characteristics	"Univariate
Date Donated	"2014-03-02"
Missing Values	"N/A"
Number of Instances	"N/A"
Number of Web Hits	"49718"
Number_of_Attributes	"N/A"
AODP Economy	Taiwan