Action Description From 2D Human Postures in Care Facilities

Wataru Takano; Haeyeon Lee

RA-L 20203 citations

Action Description From 2D Human Postures in Care Facilities

Abstract

This article describes a novel approach to classification of whole-body motions from estimated human postures in 2D camera images and subsequent generation of their relevant descriptions. The motions are encoded into stochastic motion models referred to as motion primitives. Words are connected to the motion primitives, and word n-grams are represented stochastically. More specifically, the motion observation is classified into the motion primitive, from which its relevant words are generated. These words are arranged in a grammatically correct order to make the descriptions for the observation. This approach was tested on actions performed by older adults in the care facility and its validity was demonstrated.

BibTeX

@inproceedings{ral2020_actiondescriptio,
  title = {Action Description From 2D Human Postures in Care Facilities},
  author = {Wataru Takano and Haeyeon Lee},
  booktitle = {RA-L 2020},
  year = {2020}
}