[HTML][HTML] Wearable sensors for activity monitoring and motion control: A review
Wearable sensors for activity monitoring currently are being designed and developed,
driven by an increasing demand in health care for noninvasive patient monitoring and …
driven by an increasing demand in health care for noninvasive patient monitoring and …
Deep convolutional neural networks for human action recognition using depth maps and postures
In this paper, we present a method (Action-Fusion) for human action recognition from depth
maps and posture data using convolutional neural networks (CNNs). Two input descriptors …
maps and posture data using convolutional neural networks (CNNs). Two input descriptors …
Robust human activity recognition using multimodal feature-level fusion
Automated recognition of human activities or actions has great significance as it
incorporates wide-ranging applications, including surveillance, robotics, and personal …
incorporates wide-ranging applications, including surveillance, robotics, and personal …
Person-following by autonomous robots: A categorical overview
A wide range of human–robot collaborative applications in diverse domains, such as
manufacturing, health care, the entertainment industry, and social interactions, require an …
manufacturing, health care, the entertainment industry, and social interactions, require an …
Language and sketching: An llm-driven interactive multimodal multitask robot navigation framework
The socially-aware navigation system has evolved to adeptly avoid various obstacles while
performing multiple tasks, such as point-to-point navigation, human-following, and-guiding …
performing multiple tasks, such as point-to-point navigation, human-following, and-guiding …
Extreme downsampling and joint feature for coding-based palmprint recognition
Palmprint is a commonly used and significant modality for biometric recognition currently.
The coding-based methods are practical for palmprint recognition because they can be free …
The coding-based methods are practical for palmprint recognition because they can be free …
3-D canonical pose estimation and abnormal gait recognition with a single RGB-D camera
Assistive robots play an important role in improving the quality of life of patients at home.
Among all the monitoring tasks, gait disorders are prevalent in elderly and people with …
Among all the monitoring tasks, gait disorders are prevalent in elderly and people with …
CNN-based multistage gated average fusion (MGAF) for human action recognition using depth and inertial sensors
Convolutional Neural Network (CNN) provides leverage to extract and fuse features from all
layers of its architecture. However, extracting and fusing intermediate features from different …
layers of its architecture. However, extracting and fusing intermediate features from different …
Direction control and adaptive path following of 3-D snake-like robot motion
Z Cao, D Zhang, MC Zhou - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
This work investigates direction control and path following of a 3-D snake-like robot. In order
to control such robots accurately, this work researches the relationships between its phase …
to control such robots accurately, this work researches the relationships between its phase …
Toward socially aware person-following robots
SS Honig, T Oron-Gilad, H Zaichyk… - … on Cognitive and …, 2018 - ieeexplore.ieee.org
Significant research and development has been invested in technical issues related to
person following. However, a systematic approach for designing robotic person-following …
person following. However, a systematic approach for designing robotic person-following …