The Next-Generation DeepBody™ Engine Is Here

To further improve motion recognition accuracy and real-time coaching performance, BodyPark AI is introducing the next-generation DeepBody™ Engine.

DeepBody™ Engine is BodyPark's proprietary AI motion recognition engine, designed to deliver professional-grade motion understanding, real-time feedback, and intelligent exercise analysis.

This latest upgrade not only improves recognition accuracy, but also enables AI to evolve from simply recognizing whether a movement looks correct to understanding whether the movement has actually been performed.

Faster, Smarter Motion Recognition

Previously, to minimize false positives, the recognition system relied on multiple layers of validation logic before confirming a completed repetition.

With the next-generation DeepBody™ Engine, the underlying recognition architecture has been fundamentally upgraded to deliver:

  • Faster motion response

  • Lower repetition counting latency

  • Smoother real-time feedback

  • More stable continuous motion recognition

Delivering what matters most:

Higher Accuracy × Lower Latency

Every workout now receives faster, more reliable feedback in real time.

From Pose Recognition to Motion Understanding

Traditional AI motion recognition primarily identifies exercises by analyzing the relative positions of body keypoints.

For example:

  • Whether the wrists are above the shoulders

  • Whether the elbows are bent

  • Whether the knees reach the required joint angle

This approach is capable of recognizing the vast majority of standard exercises. However, in real-world training scenarios, it still has certain limitations.

What's New in DeepBody™ Engine

For the first time, DeepBody™ Engine introduces Dynamic Human Keypoint State Analysis.

In addition to analyzing the relative relationships between body keypoints, the engine now simultaneously evaluates:

  • Absolute keypoint position changes

  • Actual motion trajectories

  • Static and dynamic movement states

  • Continuous movement validity

Rather than simply asking:

"Does this pose look like exercise?"

The AI now also determines:

"Has the exercise actually been performed?"

This marks a significant leap from pose recognition to true motion understanding.

Pull-Up Recognition Example

Previous Recognition Engine

When a user simply raises both hands and lowers them again:

  • The pose appears similar to a pull-up.

  • False repetition counting may occur.

The movement shown in the left image resembles a pull-up posture and may be incorrectly recognized by the previous recognition engine.

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Next-Generation DeepBody™ Engine

The upgraded engine additionally analyzes:

  • Whether both wrists remain fixed in a supported position

  • Whether the shoulders exhibit genuine upward movement

  • Whether the body's center of mass follows the motion trajectory of a real pull-up

  • Whether the movement is complete and continuous

2.gif

A repetition is counted only when an actual pull-up has been completed.

This fundamentally reduces:

  • False repetition counting

  • Interference from similar-looking movements

allowing AI to truly understand the movement itself—not just the pose.

Performance Improvements

The first 50 supported exercises have been upgraded.

Squat Variations

  • Bodyweight Squat

  • Barbell Back Squat

  • Smith Machine Back Squat

  • Dumbbell Sumo Squat

  • Dumbbell Side Squat

  • Dumbbell Shoulder Squat

  • Offset Kettlebell Squat

  • Goblet Squat

  • T-Bar Hack Squat

  • Smith Machine Front Squat

  • Dumbbell Bulgarian Split Squat

Pull-Up Variations

  • Neutral-Grip Pull-Up

  • Wide-Grip Overhand Pull-Up

  • Assisted Wide-Grip Overhand Pull-Up

Row Variations

  • Dumbbell Bent-Over Row (Overhand Grip)

  • Dumbbell Bent-Over Row (Underhand Grip)

  • Dumbbell Bent-Over Row (Neutral Grip)

  • Dumbbell Rotational Bent-Over Row

  • Barbell Bent-Over Row (Underhand Grip)

  • Smith Machine Reverse-Grip Row

  • Smith Machine Overhand Row

  • Dumbbell Renegade Row

  • Alternating Dumbbell Renegade Row

  • Incline Wide-Grip Dumbbell Row

  • Quadruped Single-Arm Row

  • Quadruped Kettlebell Row

  • Bent-Over Reverse-Grip Dumbbell Row

  • Chest-Supported Incline Dumbbell Row

  • Incline Barbell Row

  • T-Bar Row

Deadlift Variations

  • Barbell Stiff-Leg Deadlift

  • Dumbbell Romanian Deadlift

  • Dumbbell Stiff-Leg Deadlift

  • Standing Double Dumbbell Stiff-Leg Deadlift

  • Smith Machine Stiff-Leg Deadlift

  • Dumbbell Sumo Deadlift

  • Single-Leg Stiff-Leg Deadlift

  • Kettlebell Deadlift

  • Cable Stiff-Leg Deadlift

  • T-Bar Deadlift

Curl Variations

  • Dumbbell Biceps Curl

  • Alternating Dumbbell Biceps Curl

  • Cable Straight-Bar Curl

  • Chest-Supported Barbell Curl

Fly, Press & Lateral Raise Variations

  • Bent-Over Dumbbell Reverse Fly

  • Kettlebell Squat to Rocket Press

  • Dumbbell Overhead Squat Jump

  • Standing Dumbbell Lateral Raise

  • Seated Dumbbell Lateral Raise

  • Bench-Supported Dumbbell Lateral Raise

Continuous Evolution

With the official release of the next-generation DeepBody™ Engine, more exercises will continue to receive the upgraded recognition system through future updates.

BodyPark AI will continue advancing:

  • Motion understanding

  • Dynamic movement analysis

  • Real-time coaching

  • Recognition stability across diverse training environments

  • Professional-grade exercise recognition

Our goal is simple:

AI shouldn't just see movement.

It should truly understand it.