Kanjo, Eiman

Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection

Kanjo, E., Younis, E. M. G., & Ang, C. S. (2019) · Information Fusion

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 293

Problematic Mobile Phone Use and Addiction Across Generations: the Roles of Psychopathological Symptoms and Smartphone Use

Kuss, D. J., Kanjo, E., Crook-Rumsey, M., Kibowski, F., Wang, G. Y., & Sumich, A. (2018) · Journal of Technology in Behavioral Science

Impact of Technology on AdolescentsChild Development and Digital Technology

Cited by 196

Problematic smartphone use: Investigating contemporary experiences using a convergent design

Kuss, D., Harkin, L., Kanjo, E., & Billieux, J. (2018) · International Journal of Environmental Research and Public Health

Impact of Technology on AdolescentsSexuality, Behavior, and Technology

Cited by 160

Problematic smartphone use: an empirically validated model

Pivetta, E., Harkin, L., Billieux, J., Kanjo, E., & Kuss, D. J. (2019) · Computers in Human Behavior

Impact of Technology on AdolescentsSexuality, Behavior, and Technology

Cited by 149

Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach

Kanjo, E., Younis, E. M. G., & Sherkat, N. (2018) · Information Fusion

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 118

Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being

Woodward, K., Kanjo, E., Brown, D. J., McGinnity, T. M., Inkster, B., Macintyre, D. J., & Tsanas, A. (2022) · IEEE Transactions on Affective Computing

Digital Mental Health InterventionsInnovative Human-Technology Interaction

Cited by 18