However, Oura‘s ecosystem extends beyond the market-leading ring to its app. It looks like the app is about to include two new headline features, one being groundbreaking if it can get the calorie count correct.
Feature 1 – Heart Rate Zone Tracking.
This feature builds on widely used sports science from heart rate, exemplified by Apple Watch’s move to cover Training Load in the latest watchOS 11.
TL;DR – Accurately taken heart rate during sports can be weighted and averaged over a few weeks to give a modelled view of your fatigue. Put that against overnight HRV from the Oura Ring and you get an excellent view of what your body can handle.
Feature 2
Oura’s excellent app will let you take pictures of the meal you’re about to eat. Great. But then it will use AI to determine what’s in the meal and approximate the number of calories. That will be a GREAT boost to calorie trackers…if accurate.
Garmin charging puck — the fastest and most reliable way to top up your Garmin before a session. I use one.
Ravemen FR300 — Front light that mounts directly under your Garmin or Wahoo head unit. Keeps your bars clean and your beam pointed where it matters. I use one.
Body Glide – The blue anti-chafe stick that all swimmers and many runners use. I use it.
Maurten — The race nutrition trusted by elite athletes. Gels and drink mixes engineered to be easy on the stomach. I use them.
Garmin Varia RTL515 — A radar rear light that alerts you to vehicles approaching from behind. Pairs with your Edge or Wahoo. I use this model.
Favero Assioma Pro RS2 — The power-meter pedals most serious cyclists choose. Accurate, easy to move between bikes. I use this model.
Garmin Forerunner 970 — A serious choice for a pro-grade triathlon watch. I use this.
Polar H10 — My daily driver for accurate, waking HRV readings.
Wahoo ELEMNT Roam 3 — The bike computer that has the feature Garmin lacks: usability. I use mine on most rides.
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tfk is the founder and author of the5krunner, an independent endurance sports technology publication. With 20 years of hands-on testing of GPS watches and wearables, and competing in triathlons at an international age-group level, tfk provides in-depth expert analysis of fitness technology for serious athletes and endurance sport competitors. ID
2 thoughts on “Calories logging from meal photos – Oura’s AI Brilliance?”
I can see this working if the user can calibrate it before using it in full eg. Taking a photo AND also inputing the weight measurements a few times, so the AI can adjust with a few common meals, plate size, etc.
Also from what I remember MakroFactor did something similar, where you described the dish and it would pull up a bunch of foods that fit and some suggested weights (eg. Chicken with white rice and broccoli = 150g chicken, 100g rice and 100g broccoli).
I can see this working if the user can calibrate it before using it in full eg. Taking a photo AND also inputing the weight measurements a few times, so the AI can adjust with a few common meals, plate size, etc.
Also from what I remember MakroFactor did something similar, where you described the dish and it would pull up a bunch of foods that fit and some suggested weights (eg. Chicken with white rice and broccoli = 150g chicken, 100g rice and 100g broccoli).