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Understanding Human Performance: How AI is Advancing Workplace Health & Safety | 8 Dec


The performance of athletes and employees have more physical indicators in common than we might expect. So how can technology that has traditionally been used to monitor athlete health and performance be transferred to employees across a range of industries to ensure their health and safety?

We’re excited to be tying this event in with the current WNBL Season happening in a Queensland hub. KJR are proud sponsors of dual WNBL Championship team, the University of Canberra Capitals, and have invited members of the team to share an athlete’s perspective of the technology on display.

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.

Date: Tuesday 8th December 2020

Time: 3pm to 5pm AEST

Location: Smart Precinct NQ, 143 Walker St Townsville

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 work.
  • 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 workplaces.

Cernova Neuroscience

  • 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.

Augmented Intelligence

  • 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).

Sparta Science

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
    • Datarwe
    • Smart Precinct.NQ


Note: While this event is offered as an interactive in-person occasion, we plan on recording the whole thing and making it available as soon as possible. You can also register your interest in the recorded session via the link above.

This event will be run in accordance with the Queensland Government Covid-Safe Guidelines. Please stay at home if you are unwell or have a cough, fever, sore throat, fatigue or shortness of breath.