Subscribe to our free daily newsletters
  Robot Technology News  




Subscribe to our free daily newsletters



ROBO SPACE
Human pose estimation for care robots using deep learning
by Staff Writers
Toyohashi, Japan (SPX) Jul 12, 2017


Left: Experiment scene (this image is not used for estimation)?E?Center: Depth data corresponding to the extracted person region, Right: Estimation result (the colors correspond to each part of the body. Image courtesy Toyohashi University of Technology.

Expectations for care robots are growing against the backdrop of declining birthrates, an aging population, and a lack of care staff. As an example, for care at nursing homes and other such facilities, it is anticipated that robots will check the condition of the residents while patrolling the facility.

When evaluating a person's condition, while an initial estimation of the pose (standing, sitting, fallen, etc.) is useful, most methods to date have utilized images. These methods face challenges such as privacy issues, and difficulties concerning application within darkly lit spaces. As such, the research group (Kaichiro Nishi, a 2016 master's program graduate, and Professor Miura) has developed a method of pose recognition using depth data alone (Fig. 1).

For poses such as upright positions and sitting positions, where body parts are able to be recognized relatively easily, methods and instruments which can estimate poses with high precision are available. In the case of care, however, it is necessary to recognize various poses, such as a recumbent position (the state of lying down) and a crouching position, which has posed a challenge up until now.

Along with the recent progress of deep learning (a technique using a multistage neural network), the development of a method to estimate complex poses using images is advancing. Although deep learning requires preparation of a large amount of training data, in the case of image data, it is relatively easy for a person to see each part in an image and identify it, with some datasets also having been made open to the public. In the case of depth data, however, it is difficult to see the boundaries of parts, making it difficult to generate training data.

As such, this research has established a method to generate a large amount of training data by combining computer graphics (CG) technology and motion capture technology (Fig. 2). This method first creates CG data of various body shapes.

Next, it adds to the data information of each part (11 parts including a head part, a torso part, and a right upper arm part), and skeleton information including each joint position. This makes it possible to make CG models take arbitrary poses simply by giving the joint angles using a motion capture system. Fig. 3 shows an example of generating data for various sitting poses.

By using this developed method, training data can be generated corresponding to a combination of persons with arbitrary body shapes, and arbitrary poses. So far, we have created and released a total of about 100,000 pieces of data, both for sitting positions (with/without occlusions), and for several poses in a recumbent positions.

This data is freely available for research purposes. In the future, we will release human models and detailed procedures for data generation so that everyone can make data easily by using them. We hope that this will contribute to the progress of the related fields.

The result of this research was published in Pattern Recognition on Saturday, June 3, 2017.

ROBO SPACE
Three European firms join in robot ship project
Paris (AFP) July 11, 2017
Three European companies are to work on a pioneering project to build a fully-automated supply ship, the French member of the scheme announced on Tuesday. French offshore services company Bourbon said it had signed up with Automated Ships Ltd. (ASL) of Britain in a scheme with Norway tech firm Kongsberg Maritime to build the first ship of its kind in the world. It will be "the world's fi ... read more

Related Links
Toyohashi University of Technology
All about the robots on Earth and beyond!


Thanks for being here;
We need your help. The SpaceDaily news network continues to grow but revenues have never been harder to maintain.

With the rise of Ad Blockers, and Facebook - our traditional revenue sources via quality network advertising continues to decline. And unlike so many other news sites, we don't have a paywall - with those annoying usernames and passwords.

Our news coverage takes time and effort to publish 365 days a year.

If you find our news sites informative and useful then please consider becoming a regular supporter or for now make a one off contribution.

SpaceDaily Contributor
$5 Billed Once


credit card or paypal
SpaceDaily Monthly Supporter
$5 Billed Monthly


paypal only

Comment using your Disqus, Facebook, Google or Twitter login.

Share this article via these popular social media networks
del.icio.usdel.icio.us DiggDigg RedditReddit GoogleGoogle

ROBO SPACE
Explotrain develops drone-simulated IED training system

New Reaper drone variant performs first combat mission

Smart Quadcopters Find their Way without Human Help or GPS

Rafael unveils Drone Dome anti-drone system

ROBO SPACE
Spacepath Communications Announces Innovative Frequency Converter Systems

WVU to develop software for future NASA Mars rovers, test 3-D printed foams on ISS

Giant enhancement of electromagnetic waves revealed within small dielectric particles

ANU invention may help to protect astronauts from radiation in space

ROBO SPACE
Molecular electronics scientists shatter 'impossible' record

Harnessing hopping hydrogens for high-efficiency OLEDs

High-precision control of printed electronics

Three-dimensional chip combines computing and data storage

ROBO SPACE
France could close a third of nuclear reactors: minister

Mitsubishi, Assystem take stakes in France's nuclear reactors firm

Britain must leave EU nuclear body: Verhofstadt

Sixth MOX nuclear shipment leaves France for Japan

ROBO SPACE
US troops inside Raqa, IS Syria stronghold: official

Baghdadi 'The Ghost': world jihad's low-profile boss

Baghdadi 'The Ghost': world jihad's low-profile boss

Five killed in Boko Haram ambush in NE Nigeria: sources

ROBO SPACE
Google's 'moonshot' factory spins off geothermal unit

Fighting global warming and climate change requires a broad energy portfolio

Low-carbon trajectory is the only option, European leaders say

Divestment streak continues for British energy company Centrica

ROBO SPACE
First battery-free cellphone makes calls by harvesting ambient power

PPPL researchers demonstrate first hot plasma edge in a fusion facility

Conductive electrodes are key to fast-charging batteries

Iron secrets behind superconductors unlocked

ROBO SPACE
China develops sea launches to boost space commerce

Chinese Rocket Fizzles Out, Puts Other Launches on Hold

Chinese satellite Zhongxing-9A enters preset orbit

Chinese Space Program: From Setback, to Manned Flights, to the Moon




Memory Foam Mattress Review
Newsletters :: SpaceDaily :: SpaceWar :: TerraDaily :: Energy Daily
XML Feeds :: Space News :: Earth News :: War News :: Solar Energy News






The content herein, unless otherwise known to be public domain, are Copyright 1995-2017 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. Privacy Statement