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.
Equipment
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
High-speed cameras
ProForm Perspective ES Treadmill
LeMond G-Force UT Cycle Ergometer
Chatillon Medical Dynamometer
Analysis
Gait/Motion Analysis using IMUs and video motion analysis
Realtime O2/CO2 - VO2max
Lactate Threshold/Glucose Levels
BMI/FFM/TBW Determination
Range of Motion Studies for Baseline and Dysfunction
Lung Function/Spirometry
Electromyography (EMG)
Grip Strength / Reaction Time
Contact
For information on service work, testing, and athletic performance profiles, contact
Dr. Stephen Slaughter, stephens@udallas.edu. Researcher Associate: Dr. Lonn Hutcheson.
Professional Memberships
American College of Sports Medicine (ACSM)
Institute of Electrical and Electronics Engineers (IEEE)
Recent Publications / Presentations
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.
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