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Wearables currently decipher physiological biometrics: heart rate, pulse, caloric intake.
Physiological biometrics uses physical traits, such as fingerprint or the iris [2].
In comparison to physiological biometrics, behavioral biometrics are less stable since behavior may change due to the environment or the physical state of the individual.
Physiological biometrics involve measurement from body parts such as the fingerprint, face, iris, etc., whereas behavioral biometrics exploits cues such as gait, voice, expressions, etc.
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Gait is one of the most popular behavioral biometrics and has advantages over other physiological biometric cues (e.g., DNA, fingerprints, irises, and faces) in terms that it is difficult to imitate and obscure.
Shielding functions [51] and quantization scheme [22, 82] have been applied to several physiological and behavioral biometrics, while focusing on reported performance rates, these schemes require further studies.
The physiological states and biometrics of compassion and anger would vary greatly among people and over time and Ashley was only one person.
Alongside these physiological recognition methods come behavioral biometrics that can recognize a person based on his or her typing rhythm (called keystroke dynamics) or walking gait (which is based on an individual's movement patterns).
Biometrics, which use human physiological or behavioral features for personal identification, currently face the challenge of designing a secure biometric system that will accept only the legitimate presentation of the biometric identifiers without being fooled by the doctored or spoofed measurements that are input into the system.
Voice biometrics is one kind of physiological characteristics whose voice is different for each individual person.
Cancelable biometrics is an important biometric template protection scheme.
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