Active energy burned measures how many calories a user burns from physical activity (above resting). Learn how to interpret MyHealthCop Ai’s active_energy_burned biomarker and use it in your product.
Active energy burned is the estimated energy a user expends from movement and exercise, above their baseline resting needs. It’s commonly expressed in kilocalories (kcal). Higher values usually indicate more total physical effort for the day (longer duration, higher intensity, or both).
Key Takeaways
- What it measures: calories burned from activity (above resting metabolism).
- Why it matters: it’s a practical “effort proxy” that complements steps and active minutes.
- How to use it: power effort-based goals, explain activity score changes, and personalize pacing/recovery.
- Best practice: treat it as an estimate, use trends and baselines, and avoid precise claims.
What Is Active Energy Burned?
Active energy burned refers to energy used for physical activity — walking, workouts, climbing stairs, sport, etc. It excludes the energy your body uses just to stay alive at rest (often called resting energy or basal metabolic needs).
A useful mental model:
- Active energy = “extra energy from movement”
- Resting energy = “background energy to run the body”
- Total energy = “active + resting”
Why Active Energy Burned Matters
Active energy is valuable because it captures something steps can miss:
- two users can have similar steps but very different effort (pace, hills, carrying loads)
- cycling, rowing, or gym training can have low steps but high activity energy
- it aligns naturally with how users think about “how hard did I go today?”
Product takeaway: active energy burned is a strong effort signal — great for coaching that adapts to how demanding the day was.
How to Interpret Active Energy Burned
- Higher than baseline: more total effort (longer activity, higher intensity, more elevation, or all three).
- Lower than baseline: less total effort that day.
- High active duration + low active energy: likely lighter movement (walking, light chores).
- Low active duration + high active energy: concentrated intense session (hard workout).
Use baselines, not rigid targets
Energy expenditure estimates vary by:
- device and algorithm
- whether heart rate is available
- body size assumptions and calibration
- whether the device was worn consistently
Treat the value as an estimate and focus on trends and relative changes.
How to Use Active Energy Burned in Your Product
1) Effort-based goals (more inclusive than steps)
Examples:
- “Hit your usual effort range today”
- “Add +50 kcal above your baseline”
- “Effort streak (3 days this week)”
These work well for users whose movement isn’t step-heavy (cycling, gym, sport).
2) “Push vs recover” personalization
If active energy is high, consider:
- softer tone
- recovery suggestions
- reduced intensity nudges the next day (especially if sleep debt is high)
3) Better explanations for activity scores
Driver card pattern:
- “Your steps were similar, but your activity effort (active energy) was lower — that’s why your activity score dipped.”
4) Pair with intensity durations
Active energy becomes more interpretable when paired with:
activity_medium_intensity_durationactivity_high_intensity_duration
This allows guidance like:
- “You had less vigorous time today, so your effort was lower.”
Implementation Suggestions for your Products
- Prefer trends over single days
- Daily energy can swing a lot; weekly averages are more stable.
- Explain uncertainty
- Use language like “estimated” and “about” to avoid false precision.
- Design for coverage
- If the user doesn’t wear their device consistently, energy can undercount. Handle missing/low-confidence days gracefully.
- Use simple decision rules Examples:
- If active energy is high + sleep debt is high → recommend recovery
- If active energy is trending down → suggest a low-friction movement plan
- If active energy rises week-over-week → celebrate effort consistency