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Now showing items 11-18 of 18
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
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 ...