Browse Through:

Default Task - Undo

Classification (7)
Regression (1)
Clustering (4)
Other (1)

Attribute Type

Categorical (0)
Numerical (4)
Mixed (0)

Data Type - Undo

Multivariate (11)
Univariate (2)
Sequential (4)
Time-Series (4)
Text (4)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (0)
Physical Sciences (0)
CS / Engineering (13)
Social Sciences (1)
Business (4)
Game (0)
Other (4)

# Attributes

Less than 10 (0)
10 to 100 (2)
Greater than 100 (0)

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (1)

Format Type

Matrix (3)
Non-Matrix (1)

4 Data Sets

Table View  List View

1. 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.

2. Activity Recognition from Single Chest-Mounted Accelerometer: The dataset collects data from a wearable accelerometer mounted on the chest. The dataset is intended for Activity Recognition research purposes.

3. Gesture Phase Segmentation: The dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. It contains 50 attributes divided into two files for each video.

4. Libras Movement: The data set contains 15 classes of 24 instances each. Each class references to a hand movement type in LIBRAS (Portuguese name 'LÍngua BRAsileira de Sinais', oficial brazilian signal language).