The University of Dallas Human Performance Laboratory is a multifunctional facility. Equipment is state-of-the-art and allows students and faculty to perform research and investigate techniques used in biomechanics, exercise science, and performance training.
Areas of interest include human motion analysis using kinematic/dynamic studies. Balance, movement, and gait assessment in elderly for fall prevention are focused areas of research.
Our video motion analysis and intertial measurement units allow for the collection of quantifiable data on position in plane, position vs. time, angular velocity & acceleration, angle, rotation (6DOF), acceleration, average, median & FIR filters, stick figure plot, and spline interpolation. This coupled with electromyography and work physiology provide a robust performance profile.
Memsense Wireless Inertial Measurement Units (IMU)
Shimmer Research wireless EMG
iWorx Metabolic Cart
RJL Systems Bio-impedance Analyzer
Lange Skinfold Calipers/Reflective Pulse Oximetry
iWorx 214 A/D - ECG/Polar H.R. Monitors
Lactate Scout meters
iWorx Pulmonary Function Tests
Innovision Systems 2D/3D Motion Analysis
GLI Interactive 3-DOF Inertial Measurement Units
ProForm Perspective ES Treadmill
LeMond G-Force UT Cycle Ergometer
Chatillon Medical Dynamometer
Gait/Motion Analysis using IMUs and video motion analysis
Realtime O2/CO2 - VO2max
Lactate Threshold/Glucose Levels
Range of Motion Studies for Baseline and Dysfunction
Grip Strength / Reaction Time
For information on service work, testing, and athletic performance profiles, contact Dr. Stephen Slaughter firstname.lastname@example.org. Researcher Associate: Dr. Lonn Hutcheson.
American College of Sports Medicine (ACSM)
Institute of Electrical and Electronics Engineers (IEEE)
Stephen Slaughter, Patrick Butler, Heather Capozzella, Amanda Nguyen, Lonn Hutcheson, The Comparative Gait Effects of Select Walking Surfaces using Kinetic and EMG Analyses, Human Movement Journal, 2012, vol. 13(3).
Stephen Slaughter, Rachel Hales, Cheryl Hinze, Catherine Pfeiffer, Quantifying Stability Using Frequency Domain Data from Wireless Inertial Measurement Units, Journal of Systemics, Cybernetics, and Informatics, 2012, 10(4)
Stephen Slaughter, Caroline Hilbert, Noah Jouett, Maureen McEwen, Characterization of Gait Using Inertial Measurement Units and Neural Networks, Presented at the SCASB 2010 conference at TWU, Feb. 12, 2010
Stephen Slaughter, Caroline Hilbert, Noah Jouett, Maureen McEwen, A mechanism to PredictLimits of Stability in Human Subjects, Medicine and Science in Sports and Exercise 2010, Vol. 42:5 Supplement
Stephen Slaughter, Caroline Hilbert, Noah Jouett, Maureen McEwen, Characterization of Gait Using Inertial Measurement Units and Neural Networks, International Journal of Exercise Science: Conference Abstract Submissions 2010; Vol. 4, Iss. 1
Slaughter S., Hilbert C., Jouett N.,McEwen M., Quantifying and learning human movement characteristics for fall prevention in the elderly using Inertial Measurement Units and Neural Networks, International Conference of Education, Research, and Innovation, iCERi 2009 Proceedings; ISBN: 978-84-613-2955-7
Other Peer-Reviewed Publications:
J.P. Estrera, W.M. Duncan, S.R. Slaughter, Lineshape analysis for optical transitions in III-V semiconductors using a sequential simplex procedure., Computers in Physics Vol. 6, No. 4, Jul/Aug 1992
Stephen R. Slaughter, "An Application of Artificial Neural Systems in Trend Analysis", (M.S. Thesis, April 1990
Stephen Slaughter, Robert Hartzell, Tai-Chun Chang, A Deep Level Reasoning Tool for Semiconductor Process Simulation., International Semiconductor Manufacturing Science Symposium '89.
Warren K. Gladden, Stephen R. Slaughter, Waiter M. Duncan, Asian Baghdadi, Automatic
Determination of the Interstitial Oxygen Content of Silicon Wafers Polished on Both
Sides., NIST Special Publication 400-81, November 1988