Graduate students pursuing degrees in Electrical, Biomedical, Industrial, and Mechanical Engineering have participated in research supporting HPI activities. Theses and dissertations have been completed on topics ranging from basic sensors supporting measurement needs to performance models for specific human subsystems.

In addition to research supporting degrees pursued at the University of Texas at Arlington, students at other affiliated sites undertake graduate work that is closely related to HPI research thrusts. These are listed with respective affiliations noted.

Investigation of upper extremity neuromotor channel capacity measurement with video-based visual feedback. Yeung Y. Thesis, Electrical Engineering, 12/04.

Investigation of postural stability performance capacity measurement with dual-axis torso accelerometry. Vijai J., Electrical Engineering, 8/04.

Investigation of a Second Generation Human Activity and State Detection System. D' souza J., Thesis, Electrical Engineering, 5/03.

 

Predictive models of driving performance based on General Systems Performance Theory. Fischer C, Dissertation, UT Arlington, Biomedical Engineering, 8/02.

 

Human performance multimeter: Investigation of a third generation prototype. Sriwatanapongse W, Thesis, Electrical Engineering, 5/02.

Investigation of optical force sensor using the concept of adaptive calibration. Dubhashi A, Thesis, Electrical Engineering, 12/01.

A model of gait performance based on a functional sub-system quantification. Carollo JJ, Dissertation, UT Arlington, Biomedical Engineering, 8/98.

Investigation of a Fitts' Law for rotational motion in upper extremity tasks. Schilling P, Thesis, Biomedical Engineering, 12/96.

Investigation of human motion quality measurement based on general systems performance theory. Fischer CA, Thesis, Biomedical engineering, 12/96.

Performance model and simulation of microminiature inertial sensor systems for three dimensional real-time position and orientation sensing. Fiedler PJ, Dissertation, Electrical Engineering, 8/96.

Workload modeling and measurement using General Systems Performance Theory and Information Theory. Khoury GJ, Dissertation, Manufacturing and Industrial Engineering, 5/96.

An approach to musculoskeletal performance capacity envelope estimation. Vasta PJ, Dissertation, Biomedical Engineering, 12/95.

Development of a thermal simulation for tactile stimulation with a Peltier device. Clarke DW, Thesis, Mechanical Engineering, 5/94.

Investigation of a single-point real-time microcontroller-based three-dimensional position sensor. Andry K, Thesis, Electrical Engineering, 4/93.

Enhancement of the situation recognition model for sensor fusion and artificial decision-making. Phillips S, Thesis, Electrical Engineering, 12/92.

Investigation of a human functional posture capturing system. Fiedler PJ, Thesis, Electrical Engineering, 12/92.

An investigation of the Non-Linear Causal Resource Analysis method for task analysis and prediction of human performance. Vasta PJ, Thesis, Biomedical Engineering, 8/92.

Investigation of shape measurement, decomposition, and their applications in object recognition. Yen S, Dissertation, Electrical Engineering, 6/90.

Dimensional structuring of information as a basis for artificial intelligence. Poulson V, Thesis, Electrical Engineering,4/90.

Modeling and measurement of human speech performance toward pathology pattern recognition. Jafari M, Dissertation, Biomedical Engineering,12/89.

Head/neck control performance measurement and task interface model. Carr B, Thesis, Electrical Engineering, 8/91.

Human activity state detection and monitoring system. Ganapathy G, Thesis, Electrical Engineering, 6/89.

Investigation of human gait performance with a robotic vision system. Tsaih J, Thesis, Electrical Engineering, 8/88.

Investigation of non-invasive video digitization techniques for measurement of mandibular performance. Lu W, Thesis, Electrical Engineering, 4/88.

A systems performance model for human muscular endurance. Standridge R, Thesis, Electrical Engineering, 12/87.

Real-time EMG spectral analysis for measurement of muscular fatigue. Behrooz M, Thesis, Electrical Engineering, 8/87.

Investigation into a microprocessor-based real-time spectral analysis of two channel electromyographic signals. Bhagavatula N, Thesis, Electrical Engineering, 8/87.

Effects of functional inhibition of force on EMG derived fatigue measures in an isometric exercise. Sundararajan K, Dissertation, Industrial Engineering, 8/87.

Investigation of system-level CAD for microprocessor-based instrumentation systems. Chien E, Thesis, Electrical Engineering 5/87.

An investigation of a scientific basis for microprocessor-based system design. Wong T, Thesis, Electrical Engineering, 5/87.

Real-time digital spectrum analysis of limited bandwidth signals. Rath T, Thesis, Electrical Engineering, 12/86.

The investigation of high resolution sprite oriented graphics using LSI devices. Tsai S, Thesis, Electrical Engineering, 12/86.

Signal processing strategies for impulse response nondestructive measurements. Xi Z, Thesis, Electrical Engineering, 5/86.

Classification of resistance to passive motion using minimum probability of error criterion. Chan H, Thesis, Electrical Engineering, 5/86.

Toward adaptable sensor linearization and calibration: A universally applicable microprocessor-based system. Srinivas R, Thesis, Electrical Engineering, 5/86.

A model for software quality assurance for microprocessor-based instrument systems. Dubash M, Thesis, Electrical Engineering, 12/85.

Bit slice high resolution color video display processing. Yen S, Thesis, Electrical Engineering, 8/85.

Microprocessor-based acoustic coordinate digitizer. Deng B, Thesis, Electrical Engineering, 8/85.

Microprocessor-based resonant frequency measurement for assessment of fracture healing. Chu I, Thesis, Electrical Engineering, 8/84.

A digital inclinometer for clinical applications. Timmiah S, Thesis, Electrical Engineering, 8/84.

A portable microprocessor-based device for the determination of coordination loss. Narasimhan K, Thesis, Electrical Engineering, 8/84.