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Traditional techniques for edge computing resource scheduling may result in large amounts of wasted server resources and energy consumption; thus, exploring new approaches to achieve higher resource and energy efficiency is a new challenge. Deep ...

Although social robots equipped with visual devices may leak user information, countermeasures for ensuring privacy are not readily available, making visual privacy protection problematic. In this article, a semi‐supervised learning algorithm is ...

We propose a semi‐supervised learning algorithm for visual privacy behaviour recognition based on an improved generative adversarial network for social robots (PBR‐GAN). We implement a social robot platform and architecture for visual privacy recognition ...

Human skeleton-based gesture classification plays a dominant role in social robotics. Learning the variety of human skeleton-based gestures can help the robot to continuously interact in an appropriate manner in a natural human-robot interaction (HRI). ...

• Sensor data contribution analysis method based on status frequency-inverse frequency.
• Spatial distance matrix for context-awareness of cross-activities.
• Novel wide time-domain convolutional neural network (WCNN, powerful parallel ...

With the development of artificial intelligence and the broad application of sensors, human activity recognition (HAR) technologies based on noninvasive environmental sensors have received extensive attention and have shown great application ...