How WHOOP Detects and Labels Your Activities

Some wearables expect you to manually log every activity or workout. Open the app, pick the activity, start, stop. If you forget any of those steps, your work disappears from your data. WHOOP detects your activities automatically and labels what you did, whether you remembered to hit start or not.

Why automatic detection matters

The activities you'd never bother to log are often the ones shaping your day, whether it’s your walk to the office or an impromptu lift after lunch. Manually logging every single thing that you do is unrealistic — so on some wearables, they don't count.

When WHOOP detects and labels your activities automatically, your Healthspan reflects what your body actually did, not just the workouts you remembered to track. 

WHOOP is built to capture sustained physiological effort, not just intentional workouts. That means your data reflects total load on your body — not a filtered version of it.

How WHOOP detects an activity 

WHOOP continuously analyzes your heart rate, motion, and other physiological signals 24/7 to identify periods of activity.

Detection isn’t triggered by a single spike. It’s based on patterns:

• A sustained elevation in heart rate relative to your baseline
• Consistent movement or exertion patterns
• Duration long enough to separate real activity from noise

These signals are evaluated together to recognize when they align in a way that reflects activity. WHOOP can detect a wide range of activities, from steady-state cardio to strength training, where movement is intermittent or heart rate lags behind effort.

The detection model is trained on real WHOOP member data across different body types, ages, and genders.

How WHOOP labels what you did

Detecting that a workout happened is one thing. Classifying it correctly is a different challenge.

WHOOP uses advanced deep learning models trained on large-scale member data to match your activity to known movement and physiology patterns. Different activities produce distinct signatures across:

• Motion patterns (rhythmic vs. variable)
• Heart rate response (steady vs. interval-driven)
• Intensity profiles over time

But classification doesn’t rely on sensor data alone. It’s personalized using:

• Your workout history: repeated behaviors increase confidence in similar future sessions
• Contextual patterns: day of week and seasonal trends
• Your physiology: your heart rate ranges and profile

For example: if you regularly lift on Mondays, WHOOP factors that into how it interprets a similar signal pattern in the future.

When confidence is high, WHOOP assigns a specific label like running, cycling, or weightlifting. When it’s not, it defaults to a generic “Activity” rather than guessing.

What gets detected and classified

WHOOP automatically detects a wide range of activities, from high-intensity training to low-strain movement throughout the day.

The following activities are automatically classified: baseball, basketball, boxing, climber, commuting, cross country skiing, cycling, dance, elliptical, field hockey, football, functional fitness, golf, gymnastics, HIIT, hiking, ice hockey, jiu jitsu, jumping rope, kayaking, lacrosse, martial arts, mountain biking, paddle tennis, pickleball, powerlifting, rock climbing, rowing, rugby, running, skiing, soccer, spin, squash, stairmaster, surfing, swimming, tennis, track & field, ultimate frisbee, volleyball, walking, weightlifting, wrestling, yoga.

You can always update the activity type yourself, and those edits do more than just fix a single workout. Each correction helps WHOOP learn what your workouts actually look like, improving how your future activities are automatically classified. Over time, this high-quality, accurate data also helps WHOOP build and refine new algorithms, making it better at distinguishing the specific activity you’re doing.

How auto-detected activities show up in your data

An activity WHOOP detects is treated the same as one you started manually. 

Your day Strain is made up of both cardio Strain and muscular Strain. While cardio Strain is captured regardless of if your activity is logged in the app, muscular Strain is calculated based on information provided by logging. For strength activities, a detected activity ensures your muscular strain is captured.

For Healthspan metrics, logged activities – whether they’re added manually or auto-detected – contribute to your strength activity time and zone-based cardio time. 

This is the point of automatic detection: your physiology reflects everything you do, not just what you log. WHOOP is built to capture that full picture, so that WHOOP can provide more personalized insights and recommendations.

What you might notice

A few things to expect from automatic detection:

• Lower Strain cardiovascular activities show up. You can delete any activity you don't want logged.
• Some workouts get an unexpected label. If WHOOP classifies a session as something it isn't, change it. The model learns from those corrections over time.
• New sports may take time to learn. For activities WHOOP rarely sees from you, the system is more conservative, it'll often label as a generic "Activity" until you've logged that activity a few times.

What's new

What's new with WHOOP activity detection

WHOOP regularly re-trains its activity detection and classification models as the member base grows and hardware evolves. The latest release reflects a step forward in both the scale of data and the sophistication of the AI models behind workout detection.

Recent improvements focus on areas that have historically been harder to detect and classify:

• More accurate detection of strength training and functional fitness
• Better identification of lower-strain, sustained activity
• Fewer workouts labeled as generic “Activity” due to improved classification confidence
• Increased consistency across age groups and fitness levels

The updated system was trained on a larger, more diverse dataset and a new generation of advanced machine learning models that better understand your workouts. 

The bottom line

WHOOP detects your activities as they happen and labels them with the accuracy needed to make your data useful. When something is off, your edits make the next detection better.

Frequently asked questions about WHOOP workout detection

Can WHOOP detect strength training automatically?

Yes. WHOOP detects weightlifting, functional fitness, and similar strength training without manual input. For more granular tracking of sets, reps, and weights, use Strength Trainer.

What if WHOOP labels my workout incorrectly?

Change it in the app. Your correction helps WHOOP classify your future workouts more accurately — especially for sports you do regularly.

Do I need to log my workouts for them to count?

Yes, but logging can either be done manually or relying on auto-detection. 

Logging your activities gives you credit in Healthspan by capturing HR zone time and Strength Activity Time. Additionally, logging strength activities ensures that your day Strain includes credit for muscular strain. Cardiovascular strain is captured even if you don’t log your activities.

Why did WHOOP detect an activity I didn't think was a workout?

WHOOP detects sustained physical activity, including lower-strain movement like walking or household work. If you'd rather not see those, you can delete the activity. Members have a range of preferences here, so the model is built to surface the activity and let you decide.

What activities can WHOOP automatically classify?

The following activities are automatically classified: baseball, basketball, boxing, climber, commuting, cross country skiing, cycling, dance, elliptical, field hockey, football, functional fitness, golf, gymnastics, HIIT, hiking, ice hockey, jiu jitsu, jumping rope, kayaking, lacrosse, martial arts, mountain biking, paddle tennis, pickleball, powerlifting, rock climbing, rowing, rugby, running, skiing, soccer, spin, squash, stairmaster, surfing, swimming, tennis, track & field, ultimate frisbee, volleyball, walking, weightlifting, wrestling, yoga.