Browsing Department of Computer Science and Electrical Engineering (UMKC) by Thesis Advisor "Derakhshani, Reza"
Now showing items 1-11 of 11
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A Multimodal Text-To-MIDI Transformer Model with Special Consideration To Artist Usage
(2023)Generative AI systems are of great interest in the field of automated music production. Current well-known state-of-the-art music generation systems such as MusicLM, while incredibly versatile and tractable, do not allow ... -
Application of Wrapper Methods to Non-Invasive Brain-State Detection: An Opto-Electric Approach
(University of Missouri--Kansas City, 2011-01-20)Using a classification guided feature selection (wrapper method) in conjunction with a new performance metric, I present a solution to multi-class subject invariant Brain Computer Interface (BCIs) using electroencephalography ... -
Classification of Human Postural and Gestural Movements Using Center of Pressure Parameters Derived From Force Platforms
(University of Missouri--Kansas City, 2010)The human body, while standing, can be imagined as a complex feedback system that produces continuous sway patterns. Subtle body movements that can be caused by sensory cues such as visual or auditory, affective, cognitive, ... -
A comparative study of surrogate musculoskeletal models using various neural network configurations
(2013)The central idea in musculoskeletal modeling is to be able to predict body-level (e.g. muscle forces) as well as tissue-level information (tissue-level stress, strain, etc.). To develop computationally efficient techniques ... -
Framework for Automatic Identification of Paper Watermarks with Chain Codes
(University of Missouri--Kansas City, 2017)In this dissertation, I present a new framework for automated description, archiving, and identification of paper watermarks found in historical documents and manuscripts. The early manufacturers of paper have introduced ... -
Hand Gesture Recognition via Electromyographic (EMG) Armband for CAD Software CONTROL
(University of Missouri -- Kansas City, 2018)In the past, computers - whether personal or at work - required a mouse and key board to interact with them, and they are still used to this day. Even for video games a physical tool (controller) is needed to interact ... -
Learning Efficient Deep Feature Extraction For Mobile Ocular Biometrics
(2020)Ocular biometrics uses physical traits from eye regions such as iris, conjunctival vasculature, and periocular for recognizing the person. Ocular biometrics has gained popularity amongst research and industry alike for its ... -
Multi-Modal Ocular Recognition in presence of occlusion in Mobile Devices
(University of Missouri -- Kansas City, 2018)The existence eyeglasses in human faces cause real challenges for ocular, facial, and soft-based (such as eyebrows) biometric recognition due to glasses reflection, shadow, and frame occlusion. In this regard, two operations ... -
A Multimodal Biometric Authentication for Smartphones
(University of Missouri–Kansas City, 2015)Biometrics is seen as a viable solution to ageing password based authentication on smartphones. Fingerprint biometric is leading the biometric technology for smartphones, however, owing to its high cost, major players in ... -
Ocular motion classification for mobile device presentation attack detection
(2020)As a practical pursuit of quantified uniqueness, biometrics explores the parameters that make us who we are and provides the tools we need to secure the integrity of that identity. In our culture of constant connectivity, ... -
A quality metric to improve wrapper feature selection in multiclass subject invariant brain computer interfaces
(University of Missouri--Kansas City, 2012-06-05)Brain computer interface systems based on electroencephalograph (EEG) signals have limitations which challenge their application as a practical device for general use. The signal features generated by the brain states ...