A robust human activity recognition system using smartphone sensors and deep learning
In last few decades, human activity recognition grabbed considerable research attentions
from a wide range of pattern recognition and human–computer interaction researchers due …
from a wide range of pattern recognition and human–computer interaction researchers due …
Transition-aware human activity recognition using smartphones
This work presents the Transition-Aware Human Activity Recognition (TAHAR) system
architecture for the recognition of physical activities using smartphones. It targets real-time …
architecture for the recognition of physical activities using smartphones. It targets real-time …
Elderly activities recognition and classification for applications in assisted living
Assisted living systems can help support elderly persons with their daily activities in order to
help them maintain healthy and safety while living independently. However, most current …
help them maintain healthy and safety while living independently. However, most current …
A survey of mobile phone sensing, self-reporting, and social sharing for pervasive healthcare
The current institution-based model for healthcare service delivery faces enormous
challenges posed by an aging population and the prevalence of chronic diseases. For this …
challenges posed by an aging population and the prevalence of chronic diseases. For this …
Human action recognition systems: A review of the trends and state-of-the-art
Human action recognition (HAR), deeply rooted in computer vision, video surveillance,
automated observation, and human-computer interaction (HCI), enables precise …
automated observation, and human-computer interaction (HCI), enables precise …
Recognition of human activities for wellness management using a smartphone and a smartwatch: a boosting approach
P Tarafdar, I Bose - Decision Support Systems, 2021 - Elsevier
Mobile health applications are considered to be powerful tools for activity-based wellness
management. With the availability of multimodal sensors in smart devices used in our daily …
management. With the availability of multimodal sensors in smart devices used in our daily …
Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers
Human activity recognition (HAR) is an emerging field that identifies human actions in
different settings. This activity is recognized by sensors placed in the room or residence …
different settings. This activity is recognized by sensors placed in the room or residence …
Recognizing upper limb movements with wrist worn inertial sensors using k-means clustering classification
In this paper we present a methodology for recognizing three fundamental movements of the
human forearm (extension, flexion and rotation) using pattern recognition applied to the data …
human forearm (extension, flexion and rotation) using pattern recognition applied to the data …
A multimodal smartwatch-based interaction concept for immersive environments
M Lang, C Strobel, F Weckesser, D Langlois… - Computers & …, 2023 - Elsevier
Abstract Augmented and Virtual Reality (AR/VR) environments require user interaction
concepts beyond the traditional mouse-and-keyboard setup for seated desktop computer …
concepts beyond the traditional mouse-and-keyboard setup for seated desktop computer …
Rehabilitation exercise recognition and evaluation based on smart sensors with deep learning framework
W Zhang, C Su, C He - IEEE Access, 2020 - ieeexplore.ieee.org
Exercise therapy is seen as one of the major treatments for the rehabilitation for patients,
particularly using modern technologies, such as virtual reality or augmented reality …
particularly using modern technologies, such as virtual reality or augmented reality …