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| import numpy as np
from typing import Tuple
def estimate_bac_from_multimodal(
facial_features: np.ndarray,
voice_features: np.ndarray,
rppg_hrv: float,
steering_irregularity: float,
passive_breath_alcohol: float = None
) -> dict:
"""
多模态融合估计血液酒精含量(BAC)
参考: BreathLogix定量BrAC作为校准参考
Args:
facial_features: 面部特征向量 [红脸程度, 眼睑下垂, 头部摇晃]
voice_features: 语音特征 [含混度, 语速变化, 音高变化]
rppg_hrv: 心率变异性(rPPG提取)
steering_irregularity: 方向盘摇晃度(0-1)
passive_breath_alcohol: 被动呼吸酒精浓度(可选)
Returns:
BAC估计和置信度
"""
weights = {
'facial': 0.15,
'voice': 0.15,
'rppg_hrv': 0.10,
'steering': 0.20,
'passive_breath': 0.40
}
facial_score = np.dot(facial_features, np.array([0.3, 0.4, 0.3])) / 3
voice_score = np.dot(voice_features, np.array([0.5, 0.3, 0.2])) / 3
hrv_score = max(0, 1 - rppg_hrv / 50)
steering_score = steering_irregularity
if passive_breath_alcohol is not None:
breath_score = min(1.0, passive_breath_alcohol / 0.08)
else:
weights['passive_breath'] = 0
weights['steering'] += 0.20
total_weight = sum(weights.values())
bac_estimate = (
facial_score * weights['facial'] +
voice_score * weights['voice'] +
hrv_score * weights['rppg_hrv'] +
steering_score * weights['steering'] +
(breath_score if passive_breath_alcohol is not None else 0) * weights['passive_breath']
) / total_weight
confidence = 0.5 + 0.3 * (passive_breath_alcohol is not None) + 0.2
if bac_estimate > 0.08:
alert = 'level2_block'
elif bac_estimate > 0.02:
alert = 'level1_warn'
else:
alert = 'normal'
return {
'bac_estimate': float(bac_estimate),
'confidence': float(confidence),
'alert_level': alert,
'modality_scores': {
'facial': float(facial_score),
'voice': float(voice_score),
'rppg_hrv': float(hrv_score),
'steering': float(steering_score),
'passive_breath': float(breath_score) if passive_breath_alcohol else None
}
}
if __name__ == "__main__":
print("=== 多模态酒驾检测仿真 ===\n")
result1 = estimate_bac_from_multimodal(
facial_features=np.array([0.1, 0.05, 0.02]),
voice_features=np.array([0.1, 0.05, 0.02]),
rppg_hrv=45.0,
steering_irregularity=0.1,
passive_breath_alcohol=0.005
)
print(f"[正常驾驶] BAC={result1['bac_estimate']:.3f}, 警告={result1['alert_level']}")
result2 = estimate_bac_from_multimodal(
facial_features=np.array([0.4, 0.2, 0.15]),
voice_features=np.array([0.3, 0.2, 0.1]),
rppg_hrv=30.0,
steering_irregularity=0.3,
passive_breath_alcohol=0.04
)
print(f"[轻度饮酒] BAC={result2['bac_estimate']:.3f}, 警告={result2['alert_level']}")
result3 = estimate_bac_from_multimodal(
facial_features=np.array([0.8, 0.6, 0.5]),
voice_features=np.array([0.7, 0.5, 0.3]),
rppg_hrv=15.0,
steering_irregularity=0.7,
passive_breath_alcohol=0.12
)
print(f"[醉酒] BAC={result3['bac_estimate']:.3f}, 警告={result3['alert_level']}")
|