Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Tomohisa Yoshimi

dblp:75/2646 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 44% Wearable and physiological sensing · 44% Health and well-being technologies · 13%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
pressure distribution sensing
0.011999
Body Parts Positions and Posture Estimation System Based on Pressure Distribution Image · ICRA 1999

Methods — techniques the papers use, named apart from their topics

template matching · 0.0model-based pressure image · 0.0
YearPublicationVenuePosition
1999 Body Parts Positions and Posture Estimation System Based on Pressure Distribution Image
abstract
We develop a body parts position and posture estimation system. This system consists of a pressure sensor distributed bed and body parts position and posture estimation software. The computer constructs many pressure distribution images based on the simple human models and accumulates these images to its memory, called the model-based pressure image templates. The pressure distribution image through is compared with model-based pressure image templates to find out the most matched pressure image template. The model-based pressure image templates contain body parts positions and joint angles information, so the body parts position contacting with the bed can easily be estimated by using the most matched model-based pressure image template. Finally, an estimated posture is displayed as a 3D computer graphics image. An experimental result reveals that the system not only can display the estimated lying human posture intuitively, but can also estimate the lying human's body parts position accurately where the body parts contacts with bed.
Tatsuya Harada, Taketoshi Mori, Yoshifumi Nishida, Tomohisa Yoshimi, Tomomasa Sato
ICRA4