Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task

Classification (5)
Regression (0)
Clustering (2)
Other (0)

Attribute Type - Undo

Categorical (0)
Numerical (5)
Mixed (0)

Data Type - Undo

Multivariate (11)
Univariate (0)
Sequential (0)
Time-Series (5)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (5)
Physical Sciences (1)
CS / Engineering (18)
Social Sciences (0)
Business (0)
Game (0)
Other (1)

# Attributes - Undo

Less than 10 (6)
10 to 100 (2)
Greater than 100 (5)

# Instances

Less than 100 (0)
100 to 1000 (1)
Greater than 1000 (4)

Format Type

Matrix (4)
Non-Matrix (1)

5 Data Sets

Table View  List View


1. Simulated Falls and Daily Living Activities Data Set: 20 falls and 16 daily living activities were performed by 17 volunteers with 5 repetitions while wearing 6 sensors (3.060 instances) that attached to their head, chest, waist, wrist, thigh and ankle.

2. Epileptic Seizure Recognition: This dataset is a pre-processed and re-structured/reshaped version of a very commonly used dataset featuring epileptic seizure detection.

3. Smartphone-Based Recognition of Human Activities and Postural Transitions: Activity recognition data set built from the recordings of 30 subjects performing basic activities and postural transitions while carrying a waist-mounted smartphone with embedded inertial sensors.

4. Breath Metabolomics: Breath analysis is a pivotal method for biological phenotyping. In a pilot study, 100 experiments with four subjects have been performed to study the reproducibility of this technique.

5. sEMG for Basic Hand movements: The sEMG for Basic Hand movements includes 2 databases of surface electromyographic signals of 6 hand movements using Delsys' EMG System. Healthy subjects conducted six daily life grasps.


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML