ARFrame

ARBody2D 的人体节点信息如下
let skeleton = body.skeleton
for na in skeleton.definition.jointNames
{
print("--->(na)")
}
空间位置信息 ： skeleton.jointLandmarks
--->head_joint
--->neck_1_joint
--->right_shoulder_1_joint
--->right_forearm_joint
--->right_hand_joint
--->left_shoulder_1_joint
--->left_forearm_joint
--->left_hand_joint
--->right_upLeg_joint
--->right_leg_joint
--->right_foot_joint
--->left_upLeg_joint
--->left_leg_joint
--->left_foot_joint
--->right_eye_joint
--->left_eye_joint
--->root
--->right_ear_joint
--->left_ear_joint

以上表格json化

{
    "ARFrame": {
        "description": "AR 会话中的一帧数据",
        "attributes": [
            {
                "name": "camera",
                "description": "相机信息",
                "subAttributes": [
                    {
                        "name": "transform",
                        "type": "simd_float4x4",
                        "description": "表示相机在 3D 空间中的位置和方向，包含平移和旋转信息。"
                    },
                    {
                        "name": "intrinsics",
                        "type": "simd_float3x3",
                        "description": "相机内参矩阵，描述镜头的焦距和图像中心，用于从 3D 坐标到 2D 图像的投影。"
                    }
                ]
            },
            {
                "name": "anchors",
                "description": "锚点信息",
                "subAttributes": [
                    {
                        "name": "count",
                        "type": "Int",
                        "description": "当前帧中锚点的数量，表示虚拟物体的数量，帮助开发者了解场景的复杂性。"
                    },
                    {
                        "name": "identifier",
                        "type": "UUID",
                        "description": "锚点的唯一标识符，用于区分不同的虚拟对象，使得每个对象能够被独立跟踪和管理。"
                    },
                    {
                        "name": "transform",
                        "type": "simd_float4x4",
                        "description": "表示该锚点在 3D 空间中的位置和方向，类似于相机变换。"
                    }
                ]
            },
            {
                "name": "lightEstimate",
                "description": "光照估计",
                "subAttributes": [
                    {
                        "name": "ambientIntensity",
                        "type": "Float",
                        "description": "当前环境的光照强度（以勒克斯为单位），用于调整虚拟物体的光照效果，使其看起来更加自然。"
                    },
                    {
                        "name": "ambientColorTemperature",
                        "type": "Float",
                        "description": "环境光的色温（以开尔文为单位），影响物体的渲染色彩和真实感，帮助改善虚拟与现实的融合。"
                    }
                ]
            },
            {
                "name": "capturedImage",
                "description": "捕获的图像",
                "subAttributes": [
                    {
                        "name": "capturedImage",
                        "type": "CVPixelBuffer",
                        "description": "当前帧的原始图像数据，包含摄像头捕获的画面，可用于进行图像处理或后续渲染。"
                    }
                ]
            },
            {
                "name": "timestamp",
                "description": "时间戳",
                "subAttributes": [
                    {
                        "name": "timestamp",
                        "type": "TimeInterval",
                        "description": "该帧捕获的时间，通常以秒为单位，方便进行时间相关的处理或同步。"
                    }
                ]
            },
            {
                "name": "worldMappingStatus",
                "description": "世界映射状态",
                "subAttributes": [
                    {
                        "name": "worldMappingStatus",
                        "type": "ARFrame.WorldMappingStatus",
                        "description": "表示 ARKit 对环境理解的状态（如 .notAvailable、.limited、.extending 和 .mapped），指示 AR 会话的质量和稳定性。"
                    }
                ]
            },
            {
                "name": "detectedBody",
                "description": "检测到的身体",
                "subAttributes": [
                    {
                        "name": "detectedBody",
                        "type": "ARBody2D? 或 ARBodyAnchor?",
                        "description": "如果检测到人体骨架，返回相关数据（如身体位置和姿势），否则为 nil，可用于与用户进行交互。"
                    }
                ]
            },
            {
                "name": "segmentationBuffer",
                "description": "分割图像",
                "subAttributes": [
                    {
                        "name": "segmentationBuffer",
                        "type": "CVPixelBuffer?",
                        "description": "表示当前场景的分割图像，用于区分不同区域（如前景和背景），帮助提高渲染效果和视觉真实感。"
                    }
                ]
            },
            {
                "name": "depthData",
                "description": "深度数据",
                "subAttributes": [
                    {
                        "name": "depthData",
                        "type": "AVDepthData?",
                        "description": "场景的深度信息，提供距离数据，用于计算虚拟物体与现实世界之间的遮挡效果，增强 AR 体验的真实感。"
                    }
                ]
            }
        ]
    }
}