Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
Human activity recognition using inertial sensors in a smartphone: An overview
The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …
processing, portability, and power of sensing, have greatly changed people's lives. Today …
Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
Wearable sensor-based human activity recognition with transformer model
Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
Deep convolutional and lstm recurrent neural networks for multimodal wearable activity recognition
FJ Ordóñez, D Roggen - Sensors, 2016 - mdpi.com
Human activity recognition (HAR) tasks have traditionally been solved using engineered
features obtained by heuristic processes. Current research suggests that deep convolutional …
features obtained by heuristic processes. Current research suggests that deep convolutional …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
Healthcare using body sensor data has been getting huge research attentions by a wide
range of researchers because of its good practical applications such as smart health care …
range of researchers because of its good practical applications such as smart health care …
Sensor-based datasets for human activity recognition–a systematic review of literature
The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …
recognition systems (ARS) based on human activity recognition (HAR). These systems …
Stochastic recognition of physical activity and healthcare using tri-axial inertial wearable sensors
Featured Application The proposed technique is an application of physical activity detection,
analyzing three challenging benchmark datasets. It can be applied in sports assistance …
analyzing three challenging benchmark datasets. It can be applied in sports assistance …
Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach
Z Al-Makhadmeh, A Tolba - Measurement, 2019 - Elsevier
Globally, the prognosis of heart disease can be improved by early diagnosis and treatment.
However, existing automatic systems for diagnosing heart disease are hampered by the …
However, existing automatic systems for diagnosing heart disease are hampered by the …