Katie Allen – Scholarship Recipient

Katie Allen received two scholarships:

Dr. Paul S. Richards Safe Workplace Scholarship

David J. Burton Endowed Scholarship

Katie was recently honored at the RMCOEH Advisory Board Meeting on May 20, 2022 and is grateful to be a recipient of these prestigious awards. Katie is researching how wearable smart garments can be used to collect human movement data to better understand injury causation and improve workplace design.

2022 Graduates

Some of the happiest (and saddest) days of an advisor’s career is graduation. This year was remarkable, given that 7 students from the E&S Lab completed their advanced degrees and another current student finished her BS as a steppingstone to continue pursuing a PhD. We have experienced some of the most difficult times ever to be a student during the COVID-19 pandemic, yet despite these challenges, the grit, tenacity and creativity of these students came through as seen by their performance and accomplishments. Congratulations to:

  • Sarvenaz Chaeibakhsh, PhD
  • Nicholas Gomez, PhD
  • Dorothy Taylor, PhD
  • Jamie Herridge, MS
  • Scott Tew, MS
  • Erik Steenburgh, MS
  • Daniel Waldram, MS
  • Katrina Cernucan, BS

The future is in good hands!

RMASB 2022 Conference

After a 2-year hiatus from in-person conference participation, we made the trek across Wyoming to attend and participate in the 12th Annual RMASB Meeting (Rocky Mountain ASB (google.com). We caught up with old friends and connected with new people to form exciting collaborations.

Our E&S students were well represented:

Nick Gomez: Upper-extremity kinematics and interlimb coordination of persons with Parkinson’s disease are sensitive to the environment

Jamie Herridge: Leveraging Prehistoric Footwear to Reconstruct Ancient Running Biomechanics

Katie Allen: Quantifying Upper Body Postures with a Motion Sensing Garment

Classifying Hazardous Movements Using Instrumented Insoles

Dr. Mitja Trkov lead this research as a Post-Doctoral Trainee in the Ergonomics and Safety Lab. We are thrilled to have the work published in Applied Ergonomics and invite you to access the article using the link below:

Classifying hazardous movements and loads during manual materials handling using accelerometers and instrumented insoles – ScienceDirect

We present a machine learning algorithm to detect and classify MMH tasks using minimally-intrusive instrumented insoles and chest-mounted accelerometers. Six participants performed standing, walking, lifting/lowering, carrying, side-to-side load transferring (i.e., 5.7 kg and 12.5 kg), and pushing/pulling. Lifting and carrying loads as well as hazardous behaviors (i.e., stooping, overextending and jerky lifting) were detected with 85.3%/81.5% average accuracies with/without chest accelerometer. The proposed system allows for continuous exposure assessment during MMH and provides objective data for use with analytical risk assessment models that can be used to increase workplace safety through exposure estimation.

IV Pole Redesign

A group of senior Mechanical Engineering students redesigned an IV pole for safer use by solving the problem of cord and tube management while making the IV pole more ergonomic. The project was advised by Professor Andrew Merryweather as part of the Capstone Course at the University of Utah. The new design provides better access for connecting pumps and accessories to the IV Pole, manages cords and tubing, and prevents tripping over the power cord using a creative magnetic breakaway plug.

Group Members: Hamam AlOraimi, Taylor Cook, Ricardo Nicolia, Ryan Wilcox, Austin Williams