Localization Data for Person Activity

Donated on 11/2/2010

Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing the same scenario five times.

Dataset Characteristics

Univariate, Sequential, Time-Series

Subject Area

Health and Medicine

Associated Tasks

Classification

Feature Type

Real

# Instances

164860

# Features

8

Dataset Information

Additional Information

People used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest). Each instance is a localization data for one of the tags. The tag can be identified by one of the attributes.

Has Missing Values?

No

Variable Information

Instance example: A01,020-000-033-111,633790226057226795,27.05.2009 14:03:25:723,4.292500972747803,2.0738532543182373,1.36650812625885,walking 1) Sequence Name {A01,A02,A03,A04,A05,B01,B02,B03,B04,B05,C01,C02,C03,C04,C05,D01,D02,D03,D04,D05,E01,E02,E03,E04,E05} (Nominal) - A, B, C, D, E = 5 people 2) Tag identificator {010-000-024-033,020-000-033-111,020-000-032-221,010-000-030-096} (Nominal) - ANKLE_LEFT = 010-000-024-033 - ANKLE_RIGHT = 010-000-030-096 - CHEST = 020-000-033-111 - BELT = 020-000-032-221 3) timestamp (Numeric) all unique 4) date FORMAT = dd.MM.yyyy HH:mm:ss:SSS (Date) 5) x coordinate of the tag (Numeric) 6) y coordinate of the tag (Numeric) 7) z coordinate of the tag (Numeric) 8) activity {walking,falling,'lying down',lying,'sitting down',sitting,'standing up from lying','on all fours','sitting on the ground','standing up from sitting','standing up from sitting on the ground'} (Nominal)

Dataset Files

FileSize
ConfLongDemo_JSI.txt20.5 MB
dataSetDescription.names2.5 KB

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download (6 MB)
0 citations
4340 views

Creators

Vedrana Vidulin

Mitja Lustrek

Bostjan Kaluza

Rok Piltaver

Jana Krivec

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy