AI Models for Human-Centered Computer Vision and Signal Analysis

Dear Colleagues,

Signal, image, and video analysis dealing with the detection, recognition, and identification/verification of humans and human-related events, such as gestures, actions, or speech, has over the years moved from sole academic interest into industrial research and technological practice. This process results in steady improvements of sensors and fast-growing power of computational hardware and in maturing of computational techniques.

Aim of the Special Issue is to present AI-based techniques, both classic machine learning and deep learning models, for the analysis of human-related digital data (e.g., processing, segmentation, feature extraction, and object/fake/fraud/health detection/classification/identification) acquired by various sensors (cameras, microphones, or touch) and wearable sensors or medical devices.

Original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• Biometrics.
• Human pose and action classification.
• Human–machine interaction by gestures and voice.
• Human sensor acquisition and data analysis.
• Fake detection in image, speech, and video.
• Surveillance video analysis.
• Security related data analysis.
• Wearable signal analysis.
• Health monitoring.

I look forward to receiving your contributions.

Prof. Dr. Włodzimierz Kasprzak
Guest Editor

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