Keywords:
- alcohol use
- computer algorithm
- Distribution Shift
- domain adaptation
- drinking context
- Eating Behavior
- Ecological momentary assessment
- Energy Expenditure Estimation
- food diaries
- generalization
- health
- mHealth
- Mobile And Wearable Sensing
- mobile sensing
- mood
- Multimodal Sensing
- passive sensing
- review
- Smartphone application
- smartphone sensing
- social context
- survey
- transfer learning
- Video annotation
- wearable sensing
- well being
- well-being
- young adults
Publications of Lakmal Buddika Meegahapola sorted by first author
A
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK, , , , , , , , , , , , , , , , , , , , , and , in: Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI), Association for Computing Machinery, 2023 |
[DOI] |
B
Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers, , and , in: EAI Pervasive Health, 2022 |
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K
Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity, , and , in: 25th ACM International Conference on Multimodal Interaction, 2023 |
[DOI] [URL] |
L
Ten seconds of my nights: exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips, , , , , and , in: PLOS ONE, 2021 |
[DOI] |
M
Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments, , and , in: Proc. ACM Conference on Human Factors in Computing Systems, 2024 |
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Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life, , EPFL, 2023 |
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Sensing Eating Events in Context: A Smartphone-Only Approach, , , , , and , in: IEEE Access, 10, 2022 |
[DOI] [URL] |
Quantified Canine: Inferring Dog Personality From Wearables, , , , , and , in: Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI) 2023, Association for Computing Machinery, 2023 |
[DOI] |
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries, , , , , , , , , , , , , , , , , , , , , , , , , , and , in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 6(4), 2022 |
[DOI] |
Smartphone Sensing for the Well-being of Young Adults: A Review, and , in: IEEE Access, 2021 |
[DOI] [URL] |
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training, , and , in: PACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), 8(2):46, 2024 |
[DOI] |
Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing, , , and , in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 5(3):26, 2021 |
[DOI] |
One More Bite? Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports, , , , , , and , in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 5(1), 2021 |
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Protecting Mobile Food Diaries from Getting too Personal, , and , in: 19th International Conference on Mobile and Ubiquitous Multimedia, Essen, Germany, pages 212–222, Association for Computing Machinery, 2020 |
[DOI] [URL] |
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing, , and , in: 19th International Conference on Mobile and Ubiquitous Multimedia, ACM, Essen, Germany, pages 162–166, Association for Computing Machinery, 2020 |
[DOI] [URL] |
N
Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores, , , and , in: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023 |
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S
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations, , , , , , , and , in: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pages 11, ACM, 2021 |
[DOI] |