Summary of the 2nd nurse care activity recognition challenge using lab and field data
2 nd Nurse Care Activity Recognition Challenge using Lab and Field Data is organized as a
part of HASCA workshop and is continuation of Nurse Care Activity Recognition Challenge …
part of HASCA workshop and is continuation of Nurse Care Activity Recognition Challenge …
An information gain-based model and an attention-based RNN for wearable human activity recognition
Wearable sensor-based HAR (human activity recognition) is a popular human activity
perception method. However, due to the lack of a unified human activity model, the number …
perception method. However, due to the lack of a unified human activity model, the number …
A stacked CNN and random forest ensemble architecture for complex nursing activity recognition and nurse identification
Nursing activity recognition has immense importance in the development of smart
healthcare management and is an extremely challenging area of research in human activity …
healthcare management and is an extremely challenging area of research in human activity …
Contactless fall detection for the elderly
Early fall detection imposes a challenge for preventing life-threatening conditions to the
health in geriatrics. As per the World Health Organization, around that half of total elderly …
health in geriatrics. As per the World Health Organization, around that half of total elderly …
Activity recognition based on smartphone sensor data using shallow and deep learning techniques: A Comparative Study
Human activity recognition by the use of smartphone-equipped sensors has gotten a lot of
interest in current times because of its large variety of applications. In this regard, this study …
interest in current times because of its large variety of applications. In this regard, this study …
Nurse care activity recognition: A cost-sensitive ensemble approach to handle imbalanced class problem in the wild
Nurse care activity recognition is a recent but demanding study topic in human activity
recognition (HAR) since it has high class imbalance and intra-class variability problem …
recognition (HAR) since it has high class imbalance and intra-class variability problem …
DWOSC: Dynamic Weight Optimization and Smoothness Constraint for Sensor-Based Human Activity Recognition
Y Li, J Wu, W Li, A Fang - IEEE Transactions on Instrumentation …, 2024 - ieeexplore.ieee.org
The sensor-based human activity recognition (SHAR) task aims to detect and analyze
signals captured by various sensors embedded in intelligent devices to assist people's daily …
signals captured by various sensors embedded in intelligent devices to assist people's daily …
Nurse activity recognition based on temporal frequency features
Recognition of nurse care activities is a subset of recognizing human activities. Using the
accelerometers embedded into smartphones, raw activity data is captured and then …
accelerometers embedded into smartphones, raw activity data is captured and then …
Nurse Care Activity Recognition from Accelerometer Sensor Data Using Fourier-and Wavelet-based Features
Nurse care activity recognition is an emerging segment in healthcare automation systems
based on physical movement recognition applying machine learning techniques using …
based on physical movement recognition applying machine learning techniques using …
Time series analysis of care records data for nurse activity recognition in the wild
M Kabiruzzaman, M Shidujaman… - Human Activity and …, 2024 - taylorfrancis.com
Human activity recognition in healthcare system is now being researched due to its large
impact to make automation of caring, medication and so on. As a part of activity recognition …
impact to make automation of caring, medication and so on. As a part of activity recognition …