I love my Apple Watch. The ability to track my exercise, heart rate, activity levels, and sleep has enabled a real awareness of how my physical and mental health changes over time. The ability to track personal health data over long time periods outside of laboratories is one of the most exciting developments of the …
One of the most common questions we get at Arcascope is “can’t you just do circadian phase estimation using machine learning?” Living in the data age, we have become used to thinking that big data and machine learning can do just about anything. In this post, I will break down some of the unique challenges …
So you want to get somebody’s internal time from a wearable… Let’s talk about wearable data. On the one hand, wearables are an incredible innovation, allowing self-quantification and anomaly detection with unprecedented ease, at unprecedented scales. On the other hand, they’re a data science nightmare. Or three nightmares, really. Nightmare #1: All the devices are …
