Detecting deception using machine learning with facial expressions and pulse rate [0.03%]
基于面部表情和脉搏的机器学习识谎研究
Kento Tsuchiya,Ryo Hatano,Hiroyuki Nishiyama
Kento Tsuchiya
Given the ongoing COVID-19 pandemic, remote interviews have become an increasingly popular approach in many fields. For example, a survey by the HR Research Institute (PCR Institute in Survey on hiring activities for graduates of 2021 and 2...
Market prediction using machine learning based on social media specific features [0.03%]
基于社交媒体特定特征的机器学习市场预测研究
Satoshi Sekioka,Ryo Hatano,Hiroyuki Nishiyama
Satoshi Sekioka
In recent years, unspecified messages posted on social media have significantly affected the price fluctuations of online-traded products, such as stocks and virtual currencies. In this study, we investigate whether information on Twitter a...
Ibuki Yoshida,Akihiko Yoshida,Masafumi Hashimoto et al.
Ibuki Yoshida et al.
This paper presents a point-cloud mapping method using a light detection and ranging (LiDAR) mounted on a helmet worn by a rider of micro-mobility. The distortion in LiDAR measurements, which is caused by motion and shaking of micro-mobilit...
Attempt to extract features and classify subjective poor physical conditions in facial images using deep metric learning [0.03%]
使用深度度量学习尝试从面部图像中提取特征并分类主观不良身体状况
Takato Hattori,Kent Nagumo,Kosuke Oiwa et al.
Takato Hattori et al.
With the spread of COVID-19, the need for remote detection of physical conditions is increasing, for example, there are several situations wherein the body temperature has to be measured remotely to detect febrile individuals. Aiming to rem...
Hotspot analysis of COVID-19 infection using mobile-phone location data [0.03%]
利用手机定位数据对COVID-19感染热点进行分析
Yu Kimura,Tatsunori Seki,Satoshi Miyata et al.
Yu Kimura et al.
Restrictions on outdoor activities are required to suppress the COVID-19 pandemic. To monitor social risks and control the pandemic through sustainable restrictions, we focus on the relationship between the number of people going out and th...
Distraction detection of lectures in e-learning using machine learning based on human facial features and postural information [0.03%]
基于人脸特征和姿态信息的机器学习在电子学习中对讲座时分心情况的检测
Iku Betto,Ryo Hatano,Hiroyuki Nishiyama
Iku Betto
While e-learning lectures allow students to learn at their own pace, it is difficult to manage students' concentration, which prevents them from receiving valuable information from lectures. Therefore, we propose a method for detecting stud...
Ensemble method using real images, metadata and synthetic images for control of class imbalance in classification [0.03%]
基于真实图像、元数据和合成图像的集成方法在分类不平衡中的应用研究
Rogers Aloo,Atsuko Mutoh,Koichi Moriyama et al.
Rogers Aloo et al.
Binary classification and anomaly detection face the problem of class imbalance in data sets. The contribution of this paper is to provide an ensemble model that improves image binary classification by reducing the class imbalance between t...
Assessing the effects of Kampo medicine on human skin texture and microcirculation [0.03%]
汉方药对人的皮肤纹理和微循环的影响评估
Hongyang Li,Tomokazu Yoshizaki,Lian Liang et al.
Hongyang Li et al.
In this study, we verified the effectiveness of Kampo medicine by evaluating the changes in the feature values of facial skin texture and microcirculation at two distinct tissue depths (subcutaneous 2 mm and 8 mm). A total of 80 patients wh...
Masato Takahashi,Reimei Koike,Kazuki Nagasawa et al.
Masato Takahashi et al.
We developed a system to improve the quality of telemedicine, and the test results obtained have been presented in this paper, along with the technical details of the system. The spread of COVID-19 has accelerated the need for telemedicine ...
A survey of 3D object detection algorithms for intelligent vehicles development [0.03%]
智能驾驶中三维物体检测算法的研究进展
Zhen Li,Yuren Du,Miaomiao Zhu et al.
Zhen Li et al.
With the rapid development of Artificial Intelligent algorithms on Computer Vision, 2D object detection has greatly succeeded and been applied in various industrial products. In the past several years, the accuracy of 2D object detection ha...