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The book presents selected papers at the 8th Conference on Sound
and Music Technology (CSMT) held in November 2020, at Taiyuan,
Shanxi, China. CSMT is a multidisciplinary conference focusing on
audio processing and understanding with bias on music and acoustic
signals. The primary aim of the conference is to promote the
collaboration between art society and technical society in China.
In this proceeding, the paper included covers a wide range topic
from speech, signal processing, music understanding, machine
learning and signal processing for advanced medical diagnosis and
treatment applications; which demonstrates the target of CSMT
merging arts and science research together.its content caters to
scholars, researchers, engineers, artists, and education
practitioners not only from academia but also industry, who are
interested in audio/acoustics analysis signal processing, music,
sound, and artificial intelligence (AI).
The book presents selected papers at the 8th Conference on Sound
and Music Technology (CSMT) held in November 2020, at Taiyuan,
Shanxi, China. CSMT is a multidisciplinary conference focusing on
audio processing and understanding with bias on music and acoustic
signals. The primary aim of the conference is to promote the
collaboration between art society and technical society in China.
In this proceeding, the paper included covers a wide range topic
from speech, signal processing, music understanding, machine
learning and signal processing for advanced medical diagnosis and
treatment applications; which demonstrates the target of CSMT
merging arts and science research together.its content caters to
scholars, researchers, engineers, artists, and education
practitioners not only from academia but also industry, who are
interested in audio/acoustics analysis signal processing, music,
sound, and artificial intelligence (AI).
Perception of human beings has evolved from natural biosensor to
powerful sensors and sensor networks. In sensor networks, trillions
of devices are interconnected and sense a broad spectrum of
contexts for human beings, laying the foundation of Internet of
Things (IoT). However, sensor technologies have several limitations
relating to deployment cost and usability, which render them
unacceptable for practical use. Consequently, the pursuit of
convenience in human perception necessitates a wireless, sensorless
and contactless sensing paradigm. Recent decades have witnessed
rapid developments in wireless sensing technologies, in which
sensors detect wireless signals (such as acoustic, light, and radio
frequency) originally designed for data transmission or lighting.
By analyzing the signal measurements on the receiver end, channel
characteristics can be obtained to convey the sensing results.
Currently, significant effort is being devoted to employing the
ambient Wi-Fi, RFID, Bluetooth, ZigBee, and television signals for
smart wireless sensing, eliminating the need for dedicated sensors
and promoting the prospect of the Artificial Intelligence of Things
(AIoT). This book provides a comprehensive and in-depth discussion
of wireless sensing technologies. Specifically, with a particular
focus on Wi-Fi-based sensing for understanding human behavior, it
adopts a top-down approach to introduce three key topics: human
detection, localization, and activity recognition. Presenting the
latest advances in smart wireless sensing based on an extensive
review of state-of-the-art research, it promotes the further
development of this area and also contributes to interdisciplinary
research.
Perception of human beings has evolved from natural biosensor to
powerful sensors and sensor networks. In sensor networks, trillions
of devices are interconnected and sense a broad spectrum of
contexts for human beings, laying the foundation of Internet of
Things (IoT). However, sensor technologies have several limitations
relating to deployment cost and usability, which render them
unacceptable for practical use. Consequently, the pursuit of
convenience in human perception necessitates a wireless, sensorless
and contactless sensing paradigm. Recent decades have witnessed
rapid developments in wireless sensing technologies, in which
sensors detect wireless signals (such as acoustic, light, and radio
frequency) originally designed for data transmission or lighting.
By analyzing the signal measurements on the receiver end, channel
characteristics can be obtained to convey the sensing results.
Currently, significant effort is being devoted to employing the
ambient Wi-Fi, RFID, Bluetooth, ZigBee, and television signals for
smart wireless sensing, eliminating the need for dedicated sensors
and promoting the prospect of the Artificial Intelligence of Things
(AIoT). This book provides a comprehensive and in-depth discussion
of wireless sensing technologies. Specifically, with a particular
focus on Wi-Fi-based sensing for understanding human behavior, it
adopts a top-down approach to introduce three key topics: human
detection, localization, and activity recognition. Presenting the
latest advances in smart wireless sensing based on an extensive
review of state-of-the-art research, it promotes the further
development of this area and also contributes to interdisciplinary
research.
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