跃维智动 Leapwise Motion Lab 跃维智动 | Leapwise Motion Lab

全模态
运动智能
解码引擎.

构建以人为中心的多模态感知架构，
实现全场景的高精度 动作捕捉.

init leapwise-engine

全链路
运动智能解析矩阵

打破传统动作捕捉的场景限制，依托统一的底层视觉 AI 引擎，精准提取、追踪并量化多维度的运动数据。

      全息级
      数字生命孪生

      突破现实与虚拟的物理边界，按需调用引擎底层的核心智能组件，在数字空间中完美复刻极具生命力的运动本质。

      探索核心能力

      深入了解跃维智动底层技术栈与全模态智能算法矩阵。

      Leapwise.estimatePose('.video-stream', {
  mode: '3D_SKELETON',
  keypoints: 133,
  latency: 'ultra-low'
});

      Leapwise.analyzeAction('.athlete', {
  tasks: ['detect', 'recognize', 'evaluate'],
  reconstruct3D: true,
  temporalWindow: 1024,
  outputFormat: 'biomechanics_report',
});

      Leapwise.PhysicsEngine('.subject', {
  ...enableImplicitMechanics(),
});

Leapwise.calculateForce('.subject', {
  metrics: ['torque', 'GRF'],
});

Leapwise.analyzeStress('.ACL-ligament', {
  predictiveWarning: true,
});

      Leapwise.Agent.deploy('.training-session', {
  perception: ['vision', 'audio', 'IMU'],
  brain: 'Sports-MLLM-RAG',
  task: 'interactive_coaching',
  autonomousFeedback: true,
});

      const matchOptions = {
  tracking: ['player_A', 'player_B', 'ball'],
  perspective: 'bird_eye',
};

Leapwise.Tactics()
  .analyze('.match-video', {
    extract: ['trajectory', 'speed', 'heatmap'],
    sync: matchOptions,
  })
  .predictStrategy('counter_attack');

      Leapwise.JointTracker('.scene', {
  subjects: ['human', 'equipment'],
  equipmentType: 'racket_or_weapon',
  physicsConstraint: true,
  antiOcclusion: 'aggressive',
});

      Leapwise.Forecaster()
  .predict('.opponent_player', {
    timeHorizon: '+2000ms',
    intentLevel: 'neural_prediction',
  })
  .on('critical_strike_detected', (event) => {
    triggerTacticalAlert(event.probability);
  });

      Leapwise.GenerativeEngine({
  environment: 'dynamic_uneven_terrain',
})
.synthesize('.digital_avatar', {
  prompt: 'performs an explosive martial arts kick',
  physics: 'hyper_realistic',
  styleTransfer: 'tai_chi',
});

      全链路解算延迟

      24.50 ms
      • 多模态智能体 5.60 ms
      • 动作预测 +5.20 ms
      • 时序定位 +0.55 ms
      • 动作捕捉 +0.40 ms
      • 语义理解 +6.41 ms
      • 战术解析 +4.30 ms
      • 动作迁移 +0.22 ms
      • 姿态估计 0.35 ms
      • 隐式力学 +0.48 ms
      • 三维重建 0.52 ms
      • 行为编码 3.50 ms