Physiques Database
Physiques Database
Physiques DatabaseAmerican actress - Instagram Profile
Kirsten Dunst was 12 when her performance as Claudia, the child vampire of Interview with the Vampire, earned her a Golden Globe nomination. She grew up on screen from there: the cheerleading comedy Bring It On, Sofia Coppola's The Virgin Suicides and Marie Antoinette, and Mary Jane Watson in Sam Raimi's Spider-Man trilogy. In 2011 she won Best Actress at Cannes for Lars von Trier's Melancholia, and her first Oscar nomination came in 2022, for The Power of the Dog.
At the time of this scan, she measures about 55 kg at 166 cm, with around 28% body fat: a slight, light frame and a typical composition for a woman. Her career has been built on drama, comedy and auteur cinema rather than physically demanding roles, and the numbers are those of an actor whose body has never been the main event.
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A visual estimation of the areas of your body with a higher likelihood of containing more fat than others -- not a measurement. This feature is experimental; treat the heatmap as an indication, not a clinical finding. Accuracy is best at the extremes of body-fat percentage, weaker in the middle, and atypical body shapes (athletic builds, pregnancy, etc.) may not be modelled well.
| Metric | Value vs reference | Reference | Reading |
|---|---|---|---|
| Lateral lean?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | -1.5° | 0° = vertical (frontal knees-to-head axis) | natural — upright |
| Head forward offset?Accurate to about ±1-2 cm in a single scan -- camera tilt and head rotation (looking up / down / sideways) are the main confounders. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, look straight ahead and keep the camera level while scanning. | Upload a side picture to get this metric | 0 = ear in line with the spine axis (no forward head) | — |
| Forward/back lean?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | Upload a side picture to get this metric | 0° = vertical (side knees-to-head axis) | — |
| Shoulder tilt?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | -0.4° | 0° = level (frontal) | natural — balanced |
| Hip tilt?Accurate to about ±2-3° in a single scan -- camera tilt is the main confounder. Trending against your own history (same setup) is more reliable than the absolute number. For best accuracy, make sure the camera was level while scanning. | -1.7° | 0° = level (frontal) | natural — balanced |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 7.6 cm | 7.5 cm | +1.3% | natural — balanced |
| Forearm Forearm flexors | 5.9 cm | 6.9 cm | -15.7% | notable — right side larger |
| Thigh Quadriceps | 30.2 cm | 30.5 cm | -0.8% | natural — balanced |
BodyWHAT uses its own proprietary, neural-network-based technology to estimate your body-fat percentage and other body-composition metrics directly from your photos. These in-house models are combined with established anthropometric methods; the published methods and reference ranges below inform and calibrate those estimates.
BodyWHAT's figures are estimates for general fitness and education — not medical advice or a diagnosis. They draw on established methods and published reference ranges:
Always consult a qualified healthcare professional before making decisions about your health.
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