Browsing by Author/Contributor "Derakhshani, Reza"
Now showing items 1-18 of 18
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A Multimodal Text-To-MIDI Transformer Model with Special Consideration To Artist Usage
Miles, Samuel Alan (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
Gottemukkula, Vikas (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 Body Motions Based on Posturographic Data [abstract]
Saripalle, Sashi K. (Sashi Kanth); Gajjala, Laxmi G.; Cliett, Thomas C., III; Paiva, Gavin Carson; Derakhshani, Reza; Lovelace, Christopher T.; King, Gregory W. (2010)Introduction: The human body, while standing, can be modeled as an unstable feedback system. This produces a continuous sway pattern, which manifests itself as varying ground reactions that are measured with force plates ... -
Classification of Human Postural and Gestural Movements Using Center of Pressure Parameters Derived From Force Platforms
Saripalle, Sashi K. (Sashi Kanth) (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
Pulasani, Palgun Reddy (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 ... -
Conjunctival scanning for biometric identification
Derakhshani, Reza; Ross, Arun A. (Arun Abraham) (2010-10)Researchers at UMKC have developed a biometric device which recognizes the physical characteristics of sclera veins which are visible through the conjunctival membrane in the human eye. The vascular structures of the ... -
Engineering elevator pitches
Maland, Brett; Lukosi, Eric; Derakhshani, Reza; Manring, Noah; Korampally, Venumadhav, 1972-; Staley, Clay (2010-10)This video presents the elevator pitches given in the field of engineering. Each elevator pitch consists of a presentation from the faculty/student innovator, followed by questions/answers from the audience. -
Framework for Automatic Identification of Paper Watermarks with Chain Codes
Doynov, Plamen (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
Nabulsi, Ala-Addin (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
Reddy, Narsi (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 ... -
Machine Learning Methodologies for Beyond 5G and 6G Heterogeneous Networks: Prediction, Automation, and Performance Analysis
Mukherjee, Shubhabrata (2024)The rapid evolution of technologies has led to a profound shift, creating a complex landscape of heterogeneous networks that integrate cellular, smart sensors, IoT, edge computing devices, and security endpoints, enabling ... -
Modern Tools for Noninvasive Analysis of Brainwaves: Applications in Assistive Technologies and Medical Diagnostics
Derakhshani, Reza (2010-03)Digital signal processing is arguably one of the most important segments of any modern medical equipment. Recent advances in intelligence signal processing have married machine learning methods to traditional signal analysis ... -
Multi-disciplinary Collaborations in Measurement of Human Motion
Guess, Trent M.; Derakhshani, Reza; King, Gregory W.; Leon-Salas, Walter D. (Walter Daniel) (2010-03)Bioengineering is a broad and rapidly-growing discipline defined as the application of engineering principles to biological systems. Although bioengineering is diverse in nature, the study of human movement is common to ... -
Multi-Modal Ocular Recognition in presence of occlusion in Mobile Devices
Mohammad, Ahmad Saeed (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
Saripalle, Sashi K. (Sashi Kanth) (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
Lowe, Jesse (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
Sherwood, Jesse (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 ... -
Segmentation and Feature Extraction Methods for Ocular Modalities
Tankasala, Sriram Pavan (University of Missouri--Kansas City, 2015)The demand for better and robust security is an undisputed part of our interconnected world. Biometrics based solutions offer an alternative to passwords and other form of authentications. Especially, Ocular biometrics has ...