ProfileProfileProfileProfileBrunsian-Australian YouTuber and fitness personality
Chloe Ting is a Brunsian-Australian YouTuber and fitness personality known for her short, effective home workouts that have gained a global following. Her content emphasizes accessible routines that require minimal equipment, making her a recognizable name in the digital fitness space.
The scan reveals a slender, hourglass-shaped physique with a balanced distribution of mass. Her frame is compact, with a narrow waist that contrasts with broader shoulders and hips, creating a symmetrical, proportional build. The body fat measurement aligns with a lean yet soft tissue composition, supporting a functional and athletic appearance.
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. | -2.3° | 0° = vertical (frontal knees-to-head axis) | notable — leaning left |
| 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. | -3.8° | 0° = level (frontal) | natural — left shoulder low |
| 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. | -3.8° | 0° = level (frontal) | natural — left hip low |
| Segment | Left width | Right width | Δ vs symmetric | Reading |
|---|---|---|---|---|
| Upper arm Biceps / triceps | 7.4 cm | 6.6 cm | +10.7% | natural — left side larger |
| Forearm Forearm flexors | 6.5 cm | 7.0 cm | -7.3% | natural — right side larger |
| Thigh Quadriceps | 14.4 cm | 14.9 cm | -3.4% | 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.
Processed in 32.5 seconds
Sign in to join the conversation. Sign in
Loading…
