Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Old Dominion University (4)
- Air Force Institute of Technology (3)
- New Jersey Institute of Technology (3)
- University of Nebraska at Omaha (3)
- University of Denver (2)
-
- University of Nevada, Las Vegas (2)
- Washington University in St. Louis (2)
- West Virginia University (2)
- COBRA (1)
- Claremont Colleges (1)
- Fort Hays State University (1)
- Gardner-Webb University (1)
- James Madison University (1)
- SUNY College Cortland (1)
- The University of Akron (1)
- The University of Southern Mississippi (1)
- University of Louisville (1)
- University of Rhode Island (1)
- University of South Florida (1)
- University of Texas at El Paso (1)
- Keyword
-
- Biomechanics (6)
- Kinematics (2)
- Machine learning (2)
- #ctisr (1)
- Abstracts (1)
-
- Accelerometry (1)
- Aging (1)
- Algorithms (1)
- Applied sciences (1)
- Assitive technology (1)
- Athlete monitoring (1)
- Athletics (1)
- Balance (1)
- Basal body (1)
- Basketball (1)
- Bioinformatics (1)
- Biomechanical modeling (1)
- Biomechanical phenomena/physiology (1)
- Biomedical signal processing (1)
- Biometric analysis (1)
- Biometric identification (1)
- Bipedal (1)
- Bipedal Systems (1)
- Body model (1)
- Cardiac mechanics (1)
- Cilia (1)
- Clinical metrics (1)
- Comparative (1)
- Computer vision (1)
- Constitutive modeling (1)
- Publication Year
- Publication
-
- Dissertations (3)
- UNO Student Research and Creative Activity Fair (3)
- Electronic Theses and Dissertations (2)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (2)
- McKelvey School of Engineering Graduate Student Theses & Dissertations (2)
-
- Theses and Dissertations (2)
- All HMC Faculty Publications and Research (1)
- COBRA Preprint Series (1)
- DU Undergraduate Research Journal Archive (1)
- Electrical & Computer Engineering Faculty Publications (1)
- Exercise Science Faculty Publications (1)
- Faculty Publications (1)
- Human Movement Studies & Special Education Theses & Dissertations (1)
- Life Sciences Faculty Research (1)
- Master's Theses (1)
- Masters Theses, 2020-current (1)
- Mechanical & Aerospace Engineering Theses & Dissertations (1)
- Open Access Theses & Dissertations (1)
- SACAD: Scholarly Activities (1)
- Senior Honors Projects (1)
- Theses (1)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (1)
- USF Tampa Graduate Theses and Dissertations (1)
- Undergraduate Honors Theses (1)
- Williams Honors College, Honors Research Projects (1)
- Publication Type
Articles 31 - 33 of 33
Full-Text Articles in Biomechanics
An Inverse Kinematic Mathematical Model Using Groebner Basis Theory For Arm Swing Movement In The Gait Cycle, Kimberly D. Kendricks, Adam M. Fullenkamp, Robert Mcgrellis, Jonathan Juhl, Ronald F. Tuttle
An Inverse Kinematic Mathematical Model Using Groebner Basis Theory For Arm Swing Movement In The Gait Cycle, Kimberly D. Kendricks, Adam M. Fullenkamp, Robert Mcgrellis, Jonathan Juhl, Ronald F. Tuttle
Faculty Publications
Two important indicators in the gait cycle: arm swing and foot placement, when isolated, provide key information about future behaviors in the gait cycle. Through video captured data, the INSPIRE (Integration of a Sensor Package for Identifying Radical Extremists) project seeks to identify gait characteristics in arm and leg swing movement to recognize threatening individuals. In particular, one approach discussed in this paper uses Groebner Basis Theory to model arm swing movement in the gait cycle. Through inverse kinematics, joint configurations of the shoulder and elbow are found to place the wrist at a specific position and orientation in the …
Statistical Approach To The Characterization And Recognition Of Human Gaits, Derrick M. Chelliah
Statistical Approach To The Characterization And Recognition Of Human Gaits, Derrick M. Chelliah
Theses and Dissertations
This thesis addresses the final portion of a complete process for human gait recognition. The thesis takes as input information that has been generated from videotaping walking individuals and converting their gaits into numerical data that measures the locations of various points on the body through time. Beginning with this data, this thesis uses a variety of mathematical and statistical methods to create identifying signatures for each individual and identify them on the basis of that signature. The end goal is to achieve under controlled laboratory conditions human gait recognition, an identification method which does not require contact or cooperation …
Statistical Approach To Background Subtraction For Production Of High-Quality Silhouettes For Human Gait Recognition, Jennifer J. Samler
Statistical Approach To Background Subtraction For Production Of High-Quality Silhouettes For Human Gait Recognition, Jennifer J. Samler
Theses and Dissertations
This thesis uses a background subtraction to produce high-quality silhouettes for use in human identification by human gait recognition, an identification method which does not require contact with an individual and which can be done from a distance. A statistical method which reduces the noise level is employed resulting in cleaner silhouettes which facilitate identification. The thesis starts with gathering video data of individuals walking normally across a background scene. From there the video is converted into a sequence of images that are stored as joint photographic experts group (jpeg) files. The background is subtracted from each image using a …