Smartphone User Identity Verification Using Gait Characteristics

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Analysis of Keystroke Dynamics for Fatigue Recognition Depression Behavior Detection Model Based on Participation in Serious Games

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Smartphone User Identity Verification Using Gait Characteristics

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http://www.wikidata.org/entity/Q57601378

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wetenschappelijk artikel

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наукова стаття, опублікована у вересні 2016

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Smartphone User Identity Verification Using Gait Characteristics

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Smartphone User Identity Verification Using Gait Characteristics

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Smartphone User Identity Verification Using Gait Characteristics

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Smartphone User Identity Verification Using Gait Characteristics

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Smartphone User Identity Verification Using Gait Characteristics

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Smartphone User Identity Verification Using Gait Characteristics

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Smartphone User Identity Verification Using Gait Characteristics

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P2093

Rytis Maskeliūnas

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Physical Human Activity Recognition Using Wearable Sensors

Inertial Sensor-Based Gait Recognition: A Review

Sudden event recognition: a survey.

On Estimation of a Probability Density Function and Mode

Human behavior cognition using smartphone sensors.

Feature selection for wearable smartphone-based human activity recognition with able bodied, elderly, and stroke patients.

Gait recognition and walking exercise intensity estimation.

2011 Compendium of Physical Activities: a second update of codes and MET values.

Human Activity Recognition in AAL Environments Using Random Projections.

Movement, activity and action: the role of knowledge in the perception of motion.

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100

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scholarly article

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10.3390/SYM8100100

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http://www.w3.org/2001/XMLSchema#string

P478

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Robertas Damaševičius

Marcin Woźniak

Algimantas Venčkauskas

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2016-09-29T00:00:00Z

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Smartphone User Identity Verification Using Gait Characteristics

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P2860

P2860

Smartphone User Identity Verification Using Gait Characteristics

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P2860

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