Sayde King

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Temporal Knowledge

Deception Detection

Top Venues

Multim. Tools Appl.

Publications

Sayde King, Mohamed Ebraheem, Phuong Dang, Tempestt J. Neal
Toward Emotion Recognition and Person Identification Using Lip Movement from Wireless Signals: A Preliminary Study. FG (2024)
Sayde King, Samann Pinder, Daniel Fernández Lanvin, Cristian González García, Javier de Andrés, Miguel Labrador
Noise signature identification using mobile phones for indoor localization. Multim. Tools Appl. 83 (24) (2024)
Sayde King, Samann Pinder, Daniel Fernández Lanvin, Cristian González García, Javier de Andrés, Miguel Labrador
Correction to: Noise signature identification using mobile phones for indoor localization. Multim. Tools Appl. 83 (24) (2024)
Wilson Lozano, Sayde King, Tempestt J. Neal
Observations of Caregivers of Persons with Dementia: A Qualitative Study to Assess the Feasibility of Behavior Recognition Using AI for Supporting At-Home Care. HCI (33) (2023)
Nele Loecher, Sayde King, Joseph Cabo, Tempestt J. Neal, Kristin Kosyluk
Assessing the Efficacy of a Self-Stigma Reduction Mental Health Program with Mobile Biometrics: Work-in-Progress. FG (2023)
Alessandro Negro, Fabio Montagna, Michael N. Teng, Tempestt J. Neal, Sylvia Thomas, Sayde King, Ridita Khan
Analysis of the evolution of COVID-19 disease understanding through temporal knowledge graphs. Frontiers Res. Metrics Anal. 8 (2023)
Sayde King, Najare Johnson, Kristin Kosyluk, Tempestt J. Neal
Therapist Perceptions of Automated Deception Detection in Mental Health Applications. HCI (40) (2023)
Mohamed Ebraheem, Sayde King, Tempestt J. Neal
Lip Movement as a WiFi-Enabled Behavioral Biometric: A Pilot Study. HCI (40) (2022)
Sayde King, Mohamed Ebraheem, Khadija Zanna, Tempestt J. Neal
Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data. FG (2020)
Khadija Zanna, Sayde King, Tempestt J. Neal, Shaun J. Canavan
Studying the Impact of Mood on Identifying Smartphone Users. CoRR (2019)