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TST Intake Monitoring dataset v2

Abstract: 

The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.

Instructions: 

The dataset is composed by the executions of food and drink intake actions performed by 20 young actors.

Each actor repeated each action 3 times, generating a total number of 60 sequences. The repetitions involve different movements:

  • repetition 1: eat a snack using the hand and drink water from a glass (Test 1,4,7,10,.. ,58);
  • repetition 2: eat a soup with a spoon and pour/drink water (Test 2,5,8,11,.. ,59);
  • repetition 3: use knife and fork for the main meal and finally wiping the mouth with a napkin (Test 3,6,9,12,..,60).

For each sequence, the following data are available:

This code can be used to read data with MATLAB, and to convert the depth frame from pixel domain to the point cloud domain:

http://www.tlc.dii.univpm.it/dbkinect/FoodIntake_vr2/FromDepth2PC.zip

 

If you use the dataset, please cite the following paper:

S. Gasparrini, E. Cippitelli, E. Gambi, S. Spinsante and F. Florez-Revuelta, “Performance Analysis of Self-Organising Neural Networks Tracking Algorithms for Intake Monitoring Using Kinect,” 1st IET International Conference on Technologies for Active and Assisted Living (TechAAL), 6th November 2015, Kingston upon Thames (UK).

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Dataset Details

Citation Author(s):
Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante
Submitted by:
Susanna Spinsante
Last updated:
Fri, 01/06/2017 - 16:44
DOI:
10.21227/H2BC7W
Data Format:
Links:
 
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[1] Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante, "TST Intake Monitoring dataset v2 ", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2BC7W. Accessed: Oct. 23, 2017.
@data{h2bc7w-16,
doi = {10.21227/H2BC7W},
url = {http://dx.doi.org/10.21227/H2BC7W},
author = {Enea Cippitelli; Ennio Gambi; Samuele Gasparrini; Susanna Spinsante },
publisher = {IEEE Dataport},
title = {TST Intake Monitoring dataset v2 },
year = {2016} }
TY - DATA
T1 - TST Intake Monitoring dataset v2
AU - Enea Cippitelli; Ennio Gambi; Samuele Gasparrini; Susanna Spinsante
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2BC7W
ER -
Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante. (2016). TST Intake Monitoring dataset v2 . IEEE Dataport. http://dx.doi.org/10.21227/H2BC7W
Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante, 2016. TST Intake Monitoring dataset v2 . Available at: http://dx.doi.org/10.21227/H2BC7W.
Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante. (2016). "TST Intake Monitoring dataset v2 ." Web.
1. Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante. TST Intake Monitoring dataset v2 [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2BC7W
Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante. "TST Intake Monitoring dataset v2 ." doi: 10.21227/H2BC7W