Browsing by Subject "Computer vision"
Now showing items 1-20 of 20
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An Intelligent Multimodal Upper-Limb Rehabilitation Robotic System
(2017-08-08)A traffic accident, a battlefield injury, or a stroke can lead to brain or musculoskeletal injuries that impact motor and cognitive functions and can drastically change a person's life. In such situations, rehabilitation ... -
Applications of deep learning in large-scale object detection and semantic segmentation
(2018-08-13)With the massive storage of multimedia data and increasing computational power of mobile devices, developing scalable computer vision applications has become the primary motivation for both research and industrial community. ... -
Artificial Intelligence For Cognitive Behavior Assessment In Children
(2018-06-25)Cognitive impairments in early childhood can lead to poor academic performance and require proper remedial intervention at the appropriate time. ADHD affects about 6-7% of children and is a psychiatric neurodevelopmental ... -
Computer Vision Algorithm Development and Biomedical Applications
(2016-05-10)Supervising Professor: Liping Tang and Weihua Mao This study focuses on the development and analysis of novel computer vision algorithms for biomedical applications. Chapter 2 focuses on developing a 2D Canny edge-based ... -
Computer Vision Methods for Sign Language and Cognitive Evaluation through Physical Tasks
(2020-08-05)Analyzing human motion is vital for a multitude of tasks including human-computer interaction, sign language recognition, and the assessment of cognitive disorders. Providing automatic assessments for cognitive disorders ... -
Creating and Comparing Seated Posture Classification Models Using Machine Learning and Computer Vision
The pandemic has led to a huge increase in the number of people teleworking these days. The growing time people spend in front of the computer elevates the risk of them developing bad posture habits that in the long run ... -
DOCTOR-PATIENT REAL TIME CHAT APPLICATION
During the pandemic, the majority of the working population spent most of their time doing sedentary desk jobs. As a result, they may have developed inadequate spine posture, which can cause profound implications such ... -
Enhancing Indoors Robotic Traversability Estimation with Sensor Fusion
(2023-11-14)Generally speaking, traversability estimation illustrates the ability to navigate or move through a particular environment (indoors or outdoors). Indoor environments are governed by uncertainty and stochasticity arising ... -
Extracting and Modeling Useful Information from Videos for Supporting Continuous Queries
(2016-12-20)Automating video stream processing for inferring situations of interest has been an ongoing challenge. This problem is currently exacerbated by the volume of surveillance/monitoring videos generated. Currently, manual or ... -
FACE DETECTION AND RECOGNITION USING MOVING WINDOW ACCUMULATOR WITH VARIOUS DEEP LEARNING ARCHITECTURE
(2018-05-04)Recent advancement in the field of Computer Vision and Deep Learning is making object detection and recognition easier. Hence, growing research activities in the field of deep learning are enabling researchers to find new ... -
FROM TEXT CLASSIFICATION TO IMAGE CLUSTERING, PROBLEMS LESS OPTIMIZED
(2018-06-11)Machine Learning is thriving. Every industry is using its techniques in some way to improve their efficiency and revenue. However, the focus on research is not divided equally between all of the different areas and problems ... -
Hand-Over-Face Segmentation
(2020-08-04)Accurate hand segmentation is vital in many applications in which the hands play a central role, such as sign language recognition, action recognition, and gesture recognition. A relatively unexplored obstacle to correct ... -
HUMAN ROBOT INTERACTION WITH CLOUD ASSISTED VOICE CONTROL AND VISION SYSTEM
(2018-05-14)The objective of this research is to investigate a way of interaction between humans and robots, which is through voice or speech commands. A Biomimetic Artificial Hand (BAH) is used as a platform to perform grasping tasks ... -
LEARNING ROBOT MANIPULATION TASKS VIA OBSERVATION
(2019-12-06)The coexistence of humans and robots has been the aspiration of many scientific endeavors in the past century. Most anthropomorphic or industrial robots are highly articulated and complex machines, which are designed to ... -
Machine Learning and Deep Learning Applications in Neuroimaging
(2020-08-20)Deep Learning (DL) tools have the potential to analyze large datasets and extract meaningful insights to enhance patient outcomes. Radiological images such as MRI and CT, often contain complex patterns that can be difficult ... -
Region Based Convolutional Neural Networks for object detection and recognition in ADAS application
(2018-02-15)Object Detection and Recognition using Computer Vision has been a very interesting and a challenging field of study from past three decades. Recent advancements in Deep Learning and as well as increase in computational ... -
SEMI-AUTOMATIC HAND POSE ESTIMATION USING A SINGLE DEPTH CAMERA
(2020-11-30)This paper addresses the problem of 3D hand pose annotations using a single depth camera. Although hand pose estimation methods rely critically on accurate 3D training data, creating such reliable training data is challenging ... -
TOWARD DIGITAL PHENOTYPING: HUMAN ACTIVITY REPRESENTATION FOR EMBODIED COGNITION ASSESSMENT
(2023-02-23)Cognition is the mental process of acquiring knowledge and understanding through thought, experience and senses. Based on Embodied Cognition theory, physical activities are an important manifestation of cognitive functions. ... -
Towards Automated Understanding of Laparoscopic Videos
(2019-08-09)Despite the advantages of minimally invasive surgeries, the indirect access and lack of the 3D field of view of the area of interest introduce complications in the procedures. Fortunately, the recorded videos from the ... -
Understanding human actions: Cognitive assessment and action segmentation using human object interaction
(2022-11-07)Automatic understanding of human behavior has several applications in medicine and surveillance. Analysing human actions can enable cognitive assessment of children by measuring their hyperactivity and response inhibition ...