Understanding Human Performance: How AI is advancing Workplace Health and Safety
Time & Location
About the Event
The performance of athletes and employees have more physical indicators in common than we might expect. We’ll be exploring the theme in the context of Occupational Health and Safety and how technology that has traditionally been used to monitor athlete health and performance is being transferred to employees in a range of industries.The two-hour event will feature short presentations and demonstrations of how developed and emerging technology can provide physical performance insights on the sports court and in the workplace alike.
As sponsors of WNBL Championship team, the University of Canberra Capitals, and to align with the current WNBL bubble in Northern Queensland, KJR has invited members of the team to share an athlete’s perspective of the technology on display.
The event will feature presentations and/or demonstrations from:
James Cook University
• Dr Anthony Leicht, Associate Professor – Sport & Exercise Science: highlighting the
use of digital technologies to enhance human exercise and sport performance,
including recent research examples to exemplify the growing integration of
technology into human performance and the opportunities for further collaborative
• Dr Richard Franklin, Associate Professor – Public Health: using AI and technology
towards better prediction of heat and disasters, its use in Agriculture around fatigue
management and production and in safety including road, water safety, and
• Dr Stan Rodski, Head of Neuroscience Research: how a digital neuroscience project
for peak performance originally created for elite sports and teams was subsequently
combined with computational neuroscience and led to the creation of the worlds’ first
neuro-metric predictive indicator of human performance. Then how it has been
successfully re-engineered for use in high risk job sites for predictive workplace
health and safety performance.
• Andrew Hammond, Co-Founder: The FatigueM8 systems collects long haul truck
drivers’ Electrocardiogram (ECG), determines the Heart Rate Variability (HRV) and
then analyses the HRV for signs of fatigue. We’ll look at some of the observations
collected from our FatigueM8 data collection trials and explore the identification of
fatigue via changes in HRV patterns, as well as the impact of exercise on HRV (and
therefore fatigue levels).
Greg Tonner, Head of APAC: Sparta Science is the industry’s gold standard for force plate
machine learning that predicts, improves, and validates individual and team availability. With
a simple, self-serviceable two minute scan per person, organizations increase fitness levels,
prevent injuries, and accurately predict team readiness using the world’s largest machine
learning force plate database.
We are proud to be supported by the Queensland Government and the following local
and Queensland organisations:
• Queensland AI Hub
• Smart Precinct.NQ
This will be an open event (Covid restriction pending), and will be of interest and value