[HTML][HTML] Precision Calibration and Linearity Assessment of Thin Film Force-Sensing Resistors
J Jung, K Lee, B Kim - Applied Sciences, 2024 - mdpi.com
In this study, we thoroughly analyzed the linearity and repeatability of force-sensing resistor
(FSR) sensors through static load tests to ensure their reliability. The novelty of this research …
(FSR) sensors through static load tests to ensure their reliability. The novelty of this research …
Recognition of sports and daily activities through deep learning and convolutional block attention
Portable devices like accelerometers and physiological trackers capture movement and
biometric data relevant to sports. This study uses data from wearable sensors to investigate …
biometric data relevant to sports. This study uses data from wearable sensors to investigate …
Enhancing Nursing Activity Recognition During Endotracheal Suctioning Through Video-based Pose Estimation and Machine Learning
S Islam, MZ Uddin, S Hossain… - International Journal of …, 2024 - jstage.jst.go.jp
Endotracheal suctioning is a crucial medical process where skilled professional nurses are
needed. However, there is a lack of research on automatically recognizing nurse activities …
needed. However, there is a lack of research on automatically recognizing nurse activities …
Integrating In-Ear Wearable Sensors with Deep Learning for Head and Facial Movement Analysis
Accurate and inconspicuous identification of eating behavior has substantial implications for
wellness surveillance, nutritional tracking, and technological assistance. Conventional …
wellness surveillance, nutritional tracking, and technological assistance. Conventional …
Gym Exercise Recognition Using Deep Convolutional and LSTM Neural Network Based on IMU Sensor Data
This study delves into the utilization of wearable devices equipped with inertial
measurement units (IMUs) to gather data for human activity recognition. It explores the …
measurement units (IMUs) to gather data for human activity recognition. It explores the …
Lightweight Deep Residual Network for Motorcyclist Behavior Recognition Using Inertial Sensors
Motorcyclist behavior recognition (MBR) is a significant factor in improving road safety and
preventing accidents. Inertial sensors, such as accelerometers, gyroscopes, and …
preventing accidents. Inertial sensors, such as accelerometers, gyroscopes, and …
Multimodal fusion contrastive learning framework based on insole and wristband
Y Zhu, B Luo, Q Qiu, T Zhu - … on Internet of Things and Smart …, 2024 - spiedigitallibrary.org
Significant progress has been made in the field of Human Activity Recognition (HAR)
through the application of deep learning. However, most existing studies employ supervised …
through the application of deep learning. However, most existing studies employ supervised …