Deep neural networks for human activity recognition with wearable sensors: Leave-one-subject-out cross-validation for model selection
Human Activity Recognition (HAR) has been attracting significant research attention
because of the increasing availability of environmental and wearable sensors for collecting …
because of the increasing availability of environmental and wearable sensors for collecting …
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors
Recently, convolutional neural networks (CNNs) have set latest state-of-the-art on various
human activity recognition (HAR) datasets. However, deep CNNs often require more …
human activity recognition (HAR) datasets. However, deep CNNs often require more …
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
Multiscale deep feature learning for human activity recognition using wearable sensors
Deep convolutional neural networks (CNNs) achieve state-of-the-art performance in
wearable human activity recognition (HAR), which has become a new research trend in …
wearable human activity recognition (HAR), which has become a new research trend in …
Shallow convolutional neural networks for human activity recognition using wearable sensors
Due to rapid development of sensor technology, human activity recognition (HAR) using
wearable inertial sensors has recently become a new research hotspot. Deep learning …
wearable inertial sensors has recently become a new research hotspot. Deep learning …
Human activity recognition using wearable sensors by heterogeneous convolutional neural networks
Recent researches on sensor based human activity recognition (HAR) are mostly devoted to
designing various network architectures to enhance their feature representation capacity for …
designing various network architectures to enhance their feature representation capacity for …
A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone
As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
Wearable sensor-based human activity recognition with hybrid deep learning model
It is undeniable that mobile devices have become an inseparable part of human's daily
routines due to the persistent growth of high-quality sensor devices, powerful computational …
routines due to the persistent growth of high-quality sensor devices, powerful computational …
A new CNN-LSTM architecture for activity recognition employing wearable motion sensor data: Enabling diverse feature extraction
Extracting representative features to recognize human activities through the use of
wearables is an area of on-going research. While hand-crafted features and machine …
wearables is an area of on-going research. While hand-crafted features and machine …