Builder

class Builder : GeneratedMessageLite.Builder<MessageType, BuilderType> , MetricsProto.MicroExpressionOrBuilder

Represents a detected micro-expression with metadata.
Used for facial expression analysis and emotion detection.
Protobuf type presage.physiology.MicroExpression

Functions

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Confidence score for the detection (0.0 to 1.0) 
float confidence = 4;
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String identifier of the detected expression 
string expression = 2;
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Whether the detection is considered stable/reliable 
bool stable = 3;
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Relative time of the micro-expression detection in seconds since start of recording (deprecated) 
float time = 1 [deprecated = true];
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Absolute timestamp at which the micro-expression was detected, in microseconds, since Linux epoch 
int64 timestamp = 5;
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open fun getConfidence(): Float
Confidence score for the detection (0.0 to 1.0) 
float confidence = 4;
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open fun getExpression(): String
String identifier of the detected expression 
string expression = 2;
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open fun getExpressionBytes(): ByteString
String identifier of the detected expression 
string expression = 2;
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open fun getStable(): Boolean
Whether the detection is considered stable/reliable 
bool stable = 3;
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open fun getTime(): Float
Relative time of the micro-expression detection in seconds since start of recording (deprecated) 
float time = 1 [deprecated = true];
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open fun getTimestamp(): Long
Absolute timestamp at which the micro-expression was detected, in microseconds, since Linux epoch 
int64 timestamp = 5;
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Confidence score for the detection (0.0 to 1.0) 
float confidence = 4;
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String identifier of the detected expression 
string expression = 2;
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String identifier of the detected expression 
string expression = 2;
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Whether the detection is considered stable/reliable 
bool stable = 3;
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Relative time of the micro-expression detection in seconds since start of recording (deprecated) 
float time = 1 [deprecated = true];
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Absolute timestamp at which the micro-expression was detected, in microseconds, since Linux epoch 
int64 timestamp = 5;