Cargando…
Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels
Understanding people’s eating habits plays a crucial role in interventions promoting a healthy lifestyle. This requires objective measurement of the time at which a meal takes place, the duration of the meal, and what the individual eats. Smartwatches and similar wrist-worn devices are an emerging t...
Autores principales: | Stankoski, Simon, Jordan, Marko, Gjoreski, Hristijan, Luštrek, Mitja |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963188/ https://www.ncbi.nlm.nih.gov/pubmed/33803121 http://dx.doi.org/10.3390/s21051902 |
Ejemplares similares
-
Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning
por: Stankoski, Simon, et al.
Publicado: (2022) -
How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls?
por: Gjoreski, Martin, et al.
Publicado: (2016) -
Towards smart glasses for facial expression recognition using OMG and machine learning
por: Kiprijanovska, Ivana, et al.
Publicado: (2023) -
Facial EMG sensing for monitoring affect using a wearable device
por: Gjoreski, Martin, et al.
Publicado: (2022) -
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges †
por: Kalabakov, Stefan, et al.
Publicado: (2022)