Index Catalog // ScholarsArchive@OSU

A Deep Action Segmentation and Its Explanation with a Dictionary of Meaningful Attention Maps

Creator:: Trigkakis, Dimitrios
Abstract:: This thesis addresses the problem of temporal action segmentation in videos, where the goal is to label every video frame with the appropriate action class present. We focus on the domain of NFL football videos, where action classes represent common football play types. For action segmentation, we use a temporal...
Resource Type:: Masters Thesis

A tool for visualizing sequence alignments and associating annotations

Creator:: Zhang, Wenpeng
Abstract:: Alignment of genomic sequences from different species is becoming an increasingly powerful method in biology, and is being used for many purposes. The result of sequence alignments is a list of pairs of matched locations between the pattern string and the text string. However, without any proper visualization tools to...
Resource Type:: Capstone Project

Action Segmentation with Limited Supervision

Creator:: Li, Jun
Abstract:: In this dissertation, we address action segmentation in videos under limited supervision. The goal of action segmentation is to predict an action class for each frame of a video. The limited supervision means ground truth labels of video frames are not available in training. We focus on three types of...
Resource Type:: Dissertation

Action Selection for Heterologous Control of a Continuous-Output Myoelectric Prosthesis

Creator:: Sylwester, Sean T.
Abstract:: Signiﬁcance: Movement intent decoding algorithms can interpret human bioelectrical signals to control prosthetic limbs with many degrees of freedom (DOFs). This work involves decoding volitional movement intent from surface electromyogram (sEMG) signals to control prosthetic arms. To train these algorithms, patients ﬂex their muscles to “follow” a movement prompt, and...
Resource Type:: Masters Thesis

Active Learning from Examples, Queries and Explanations

Creator:: Hamidi-Haines, Mandana
Abstract:: Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
Resource Type:: Dissertation

Activity recognition in desktop environments

Creator:: Shen, Jianqiang
Abstract:: Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
Resource Type:: Dissertation

Adaptation-based programming

Creator:: Bauer, Tim
Abstract:: Partial programming is a field of study where users specify an outline or skeleton of a program, but leave various parts undefined. The undefined parts are then completed by an external mechanism to form a complete program. Adaptation-Based Programming (ABP) is a method of partial programming that utilizes techniques from...
Resource Type:: Dissertation

Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

Creator:: George, Damon A.
Abstract:: Movement intent decoders, which interpret volitional movement intent from human bioelectric signals, can be incorporated into modern neuroprostheses to offer people living with limb loss or paralysis the potential to regain their lost motor control. Machine learning methods have become the research standard for continuous decoders with high degrees of...
Resource Type:: Masters Thesis

Agile Bipedal Locomotion via Hierarchical Control by Incorporating Physical Principles, Learning, and Optimization

Creator:: Green, Kevin
Abstract:: Robotic Bipedal locomotion holds the potential for efficient, robust traversal of difficult terrain. The difficulty lies in the dynamics of locomotion which complicate control and motion planning. Bipedal locomotion dynamics are dimensionally large problems, extremely nonlinear, and operate on the limits of actuator capabilities, which limit the performance of generic...
Resource Type:: Dissertation

Agile Bipedal Maneuvers Optimized then Learned from Single Rigid-Body Model Dynamics

Creator:: Batke, Ryan
Abstract:: As bipedal robots move ever closer to being integrated into all manner of real world envi-ronments there is a necessity to push their dynamic capabilities to meet or exceed those of humans and animals. Advancements must be made to address ordinary challenges that arise everyday in the same environments that...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

A Deep Action Segmentation and Its Explanation with a Dictionary of Meaningful Attention Maps

A tool for visualizing sequence alignments and associating annotations

Action Segmentation with Limited Supervision

Action Selection for Heterologous Control of a Continuous-Output Myoelectric Prosthesis

Active Learning from Examples, Queries and Explanations

Activity recognition in desktop environments

Adaptation-based programming

Adaptive Movement Intent Decoding for Intuitive Control of Neuroprostheses

Agile Bipedal Locomotion via Hierarchical Control by Incorporating Physical Principles, Learning, and Optimization

Agile Bipedal Maneuvers Optimized then Learned from Single Rigid-Body Model Dynamics

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