Another great Data Science Singapore (DSSG) event! Hong Cao from McLaren Applied Technologies shared his insights on applications of data science at McLaren.
The first project is using economic sensors for continuous human conditions monitoring, including sleep quality, gait and activities, perceived stress and cognitive performance.
Gait outlier analysis provides unique insight on fatigue levels while exercising, probability of injury and post surgery performance and recovery.
A related study looks into how biotelemetry assist in patient treatment such as ALS (Amyotrophic Lateral Sclerosis) disease progression monitoring. The prototype tools collect heart rate, activity and speech data to analyse disease progression.
HRV (Heart Rate Variability) features are extracted from both the time and from the frequency domains.
Activity score is derived from the three-axis accelerometer data.
The second project was a predictive failure POC, to help determine the condition of Haul Trucks in order to predict when a failure might happen. The cost of having an excavator go down in the field is $5 million a day, while the cost of losing a haul truck is $1.8 million per day. If you can prevent it from going down in the field, that makes a huge difference