Principal Investigator

Suman K. Chowdhury

Dr. Chowdhury is the director of the Human Performance and Neuroengineering Lab (HPNL) in the Department of Industrial Engineering at Texas Tech University.  To learn more about him, please click here--

Welcome to Human Performance and Neuroengineering Laboratory!

-From Intention to Action!

Objectives:

 

The primary goal of the Human Performance and Neuroengineering Laboratory (HPNEL) is to study human interactions with digital and physical industrial technologies (1) to augment human capability and performance and (2) to reduce neuromusculoskeletal injuries both in the workplace and the daily-life.  Our expertise lies in neuromuscular fatigue modeling, personalized musculoskeletal health modeling, brain wave analysis, motor control, and human factors engineering.

Approach:

Research at the HPNEL includes experimental, theoretical (mathematical modeling), and simulation approaches to study the human brain, muscle functions, mobility, and visual perception.  The experimental techniques include biodynamic and neurophysical measurement methods.  The theoretical approach includes population-specific mathematical modeling of neuromuscular, brain cognitive function, and visual responses of human interactions.  The simulation approach focuses on 'what-if' computer simulations of human interactions to understand both mechano-physiological and neurophysiological effects in order to derive effective design methodology as well as injury prevention and intervention strategies.

Facilities:

 

The HPNEL houses many state-of-the-art facilities including a motion capture system, biopotential sensors, immersive technology (virtual reality), a 3-DOF driving simulator, a 32-channel electroencephalogram (EEG), a 16-channel surface electromyography (EMG), flexible electrocardiogram (EKG) sensors, isokinetic strength measurement system, instrumented treadmill, force plates, and hand and back isometric strength measurement systems.  The majority of these biodynamic and neurophysical measurement systems can be both physically and digitally synchronized to conduct complex human-technology interaction studies in both physical and virtual settings. 

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