Published June 8, 2017 | Version v1
Journal article Open

A stochastic algorithm for automatic hand pose and motion estimation

  • 1. Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, Rome, Italy
  • 2. Research Center "E. Piaggio", Pisa, Italy
  • 3. PRISMA Lab, Department of Electrical Engineering and Information Technology, Università di Napoli Federico II, Naples, Italy

Description

Data acquired to perform the analysis introduced in this paper.

a) Figure5.csv 
In this file, the values (in m) of the marker positions given by the BTS Smart Analyzer and by the stochastic algorithm are reported.

b) Figure4.csv
In this file, the mean values (in mm) of the joint Cartesian coordinates obtained with the stochastic algorithm and with the BTS Smart Analyzer are reported.

b) Figure7.csv
In this file, the angular values (in radiants) of the index finger joints obtained by means of the angular sensors embedded in the robotic hand and the one estimated by the stochastic algorithm are reported.

Files

Figure_4.csv

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Additional details

Funding

European Commission
AIDE - Adaptive Multimodal Interfaces to Assist Disabled People in Daily Activities 645322