Artificial intelligence-assisted detection model for melanoma diagnosis using deep learning techniques
H Orhan, E Yavşan - Mathematical Modelling and Numerical …, 2023 - dergipark.org.tr
The progressive depletion of the ozone layer poses a significant threat to both human health
and the environment. Prolonged exposure to ultraviolet radiation increases the risk of …
and the environment. Prolonged exposure to ultraviolet radiation increases the risk of …
Nao robot teleoperation with human motion recognition
Teleoperation is one of the most efficient ways to control a robot remotely. It reproduces the
movements of the robot as a human exhibits in real time. In this paper, a framework is …
movements of the robot as a human exhibits in real time. In this paper, a framework is …
Real-time musical conducting gesture recognition based on a dynamic time warping classifier using a single-depth camera
F Chin-Shyurng, SE Lee, ML Wu - Applied Sciences, 2019 - mdpi.com
Gesture recognition is a human–computer interaction method, which is widely used for
educational, medical, and entertainment purposes. Humans also use gestures to …
educational, medical, and entertainment purposes. Humans also use gestures to …
Motion similarity evaluation between human and a tri-co robot during real-time imitation with a trajectory dynamic time warping model
L Gong, B Chen, W Xu, C Liu, X Li, Z Zhao, L Zhao - Sensors, 2022 - mdpi.com
Precisely imitating human motions in real-time poses a challenge for the robots due to
difference in their physical structures. This paper proposes a human–computer interaction …
difference in their physical structures. This paper proposes a human–computer interaction …
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration
As the environments that human live are complex and uncontrolled, the object manipulation
with humanoid robots is regarded as one of the most challenging tasks. Learning a …
with humanoid robots is regarded as one of the most challenging tasks. Learning a …
Motion recognition using deep convolutional neural network for Kinect-based NAO teleoperation
The capabilities of teleoperated robots can be enhanced with the ability to recognise and
reproduce human-like behaviour. The proposed framework presents motion recognition for …
reproduce human-like behaviour. The proposed framework presents motion recognition for …
Obtaining lower-body Euler angle time series in an accurate way using depth camera relying on Optimized Kinect CNN
J Guo, Q Zhang, H Chai, Y Li - Measurement, 2022 - Elsevier
Human gait extraction is a pilot step for teaching humanoid robot. A simple use system is
needed to extract the Euler angle time series (EATS) of human lower-body. This paper …
needed to extract the Euler angle time series (EATS) of human lower-body. This paper …
Kinect controlled NAO robot for telerehabilitation
In this paper, we focus on the human upper limb rehabilitation scheme that utilizes the
concept ofteleoperation. Teleoperation can help the therapist demonstrate different rehab …
concept ofteleoperation. Teleoperation can help the therapist demonstrate different rehab …
Spatial-temporal synchronous transformer for skeleton-based hand gesture recognition
D Zhao, H Li, S Yan - … Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Capturing the long-range spatial-temporal correlation among joints of dynamic skeletal data
efficiently is very challenging in hand gesture recognition (HGR). The flexibility of …
efficiently is very challenging in hand gesture recognition (HGR). The flexibility of …
SRG3: Speech-driven Robot Gesture Generation with GAN
The human gestures occur spontaneously and usually they are aligned with speech, which
leads to a natural and expressive interaction. Speech-driven gesture generation is important …
leads to a natural and expressive interaction. Speech-driven gesture generation is important …