5 accepted papers
Peripheral blood oxygen saturation (SpO2), an indicator of oxygen levels in the blood, is one of the most important physiological parameters. Although SpO2 is usually measured using a pulse oximeter, non-contact SpO2 estimation methods from facial or hand videos have been attracting attention in rec…
Efforts to estimate multiple physiological parameters such as heart rate and oxygen saturation from facial videos have been made. However, training robust machine learning models for the estimation is challenging without large multimodal physiological datasets containing multiple physiological param…
Sensor data from wearable devices have been utilized to analyze differences between experts and novices. Previous studies attempted to classify the expert-novice level from sensor data based on supervised learning methods. However, these approaches need to collect enough training data covering vario…
Brain decoding studies have demonstrated that viewed image categories can be estimated from human functional magnetic resonance imaging (fMRI) activity. However, there are still limitations with the estimation performance because of the characteristics of fMRI data and the employment of only one mod…
This paper presents a method to estimate viewed image categories from human brain activity via newly derived semi-supervised fuzzy discriminative canonical correlation analysis (Semi-FDCCA). The proposed method can estimate image categories from functional magnetic resonance imaging (fMRI) activity…