Prof. Yi Wu Profile

Prof. Yi Wu

at Fudan Univ.

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 12 June 2020 Paper

The gait analysis system based on the first-person video for applications on home health care

Yi-Zhong Chen, Chin-Hsuan Chia, Yi Wu, Tsorng-Lin Chia

Proceedings Volume 11519, 115191C (2020) https://doi.org/10.1117/12.2573553

KEYWORDS: Gait analysis, Cameras, Video, Calibration, Optical flow, Sensors, Medicine, Environmental sensing, Image processing

Read Abstract +

Gait can be a concrete manifestation of an individual's athletic traits, but also can become an essential feature of the judgment of the physical condition. Making an accurate gait analysis has become one of the critical medical information needs. However, the measurement and analysis of gait in medical institutions are still mainly based on the visual experience of physicians, or expensive and complicated motion capture system that are not suitable for use in the home environment; and the simple wearable sensors do not provide enough information to assist medical judgment. In this research project, a novel gait analysis method based on an image recorder is proposed, which has the advantages of making the gait analysis more natural and more suitable for the home environment. A more realistic gait profile can be measured without having to be in close contact with the observed body parts like motion capture system or inertial measurement device. This research project, a gait analysis system based on the first-person video will be developed, and the characteristics of captured video will be transformed into the features of clinical medicine. This system will be used in combination with traditional clinical medicine. The experimental results show that the generated measurement information can be correctly converted for clinical medicine using, and is more suitable for home environments. Further, we will cooperate with clinicians to provide a useful evaluation of home exercise rehabilitation and predicting the longterm trend. That can give the appropriate treatment regimen matching the development of the disease.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years