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Mobile user identification through authentication using keystroke dynamics and accelerometer biometrics.

, , , and . MOBILESoft, page 11-12. ACM, (2016)

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Mobile user identification through authentication using keystroke dynamics and accelerometer biometrics., , , and . MOBILESoft, page 11-12. ACM, (2016)Model Development of Lower Body Exercise for the Rehabilitation of Level 6 Filipino Post-Stroke Patients Using Microsoft Kinect Sensor V2., , , and . TENCON, page 1177-1182. IEEE, (2018)Do Not Feed the Phish: Phishing Website Detection Using URL-based Features., , , , and . WSSE, page 135-141. ACM, (2023)Modeling Filipino Academic Affect during Online Examination using Machine Learning., , , , , , and . SIGITE, page 167. ACM, (2019)Development of an Intelligent Agent that Detects Student's Negative Affect while Making a Computer Program., , , and . ICAIP, page 123-128. ACM, (2017)Modeling Negative Affect Detector of Novice Programming Students Using Keyboard Dynamics and Mouse Behavior., and . PRICAI Workshops, volume 10004 of Lecture Notes in Computer Science, page 127-138. Springer, (2016)Modeling free-form handwriting gesture user authentication for Android smartphones., , and . MOBILESoft, page 3-6. ACM, (2016)Real-Time Human Sitting Position Recognition using Wireless Sensors., and . IVSP, page 133-137. ACM, (2020)A Customer Emotion Recognition through Facial Expression using Kinect Sensors v1 and v2: A Comparative Analysis., and . IMCOM, page 80:1-80:7. ACM, (2016)Towards academic affect modeling through experimental hybrid gesture recognition algorithm., , , and . DSIT, page 48-52. ACM, (2018)