AIMC Topic: Perception

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Soft Robots' Dynamic Posture Perception Using Kirigami-Inspired Flexible Sensors with Porous Structures and Long Short-Term Memory (LSTM) Neural Networks.

Sensors (Basel, Switzerland)
Soft robots can create complicated structures and functions for rehabilitation. The posture perception of soft actuators is critical for performing closed-loop control for a precise location. It is essential to have a sensor with both soft and flexib...

Perception without preconception: comparison between the human and machine learner in recognition of tissues from histological sections.

Scientific reports
Deep neural networks (DNNs) have shown success in image classification, with high accuracy in recognition of everyday objects. Performance of DNNs has traditionally been measured assuming human accuracy is perfect. In specific problem domains, howeve...

Blind Quality Prediction for View Synthesis Based on Heterogeneous Distortion Perception.

Sensors (Basel, Switzerland)
The quality of synthesized images directly affects the practical application of virtual view synthesis technology, which typically uses a depth-image-based rendering (DIBR) algorithm to generate a new viewpoint based on texture and depth images. Curr...

Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition.

Sensors (Basel, Switzerland)
Attention is a complex cognitive process with innate resource management and information selection capabilities for maintaining a certain level of functional awareness in socio-cognitive service agents. The human-machine society depends on creating i...

Measuring Human Perception to Improve Handwritten Document Transcription.

IEEE transactions on pattern analysis and machine intelligence
In this paper, we consider how to incorporate psychophysical measurements of human visual perception into the loss function of a deep neural network being trained for a recognition task, under the assumption that such information can reduce errors. A...

Multi-Agent Multi-View Collaborative Perception Based on Semi-Supervised Online Evolutive Learning.

Sensors (Basel, Switzerland)
In the edge intelligence environment, multiple sensing devices perceive and recognize the current scene in real time to provide specific user services. However, the generalizability of the fixed recognition model will gradually weaken due to the time...

Perception Research of Artificial Intelligence in Environmental Public Health Physiotherapy Nursing for the Elderly.

Journal of environmental and public health
This perceptual study focuses on developing artificial intelligence for elderly care design. It analyses and discusses the role of artificial intelligence in elderly care and its application to physiotherapy care. Artificial intelligence, as an emerg...

A New Strategy for Disc Cutter Wear Status Perception Using Vibration Detection and Machine Learning.

Sensors (Basel, Switzerland)
Carrying out status monitoring and fault-diagnosis research on cutter-wear status is of great significance for real-time understanding of the health status of Tunnel Boring Machine (TBM) equipment and reducing downtime losses. In this work, we propos...

Design Model of Cultural and Creative Products Using User Perception Demand Mining.

Computational intelligence and neuroscience
People are becoming more and more aware of the value of design throughout a product's entire life cycle as a result of the fierce competition for industrial products that exists today. The life of a product involves its design, manufacture, sale, and...

Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception.

Sensors (Basel, Switzerland)
In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-encoder is proposed. In previous work, the deep learning ability to extract personality perception from speech was shown, but hyper-parameter tuning was attain...