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Zequan Zhao, Qiliang Zhu, Yifei Wang, Muhammad Shoaib, Xia Cao and Ning Wang
Array-designed triboelectric nanogenerators (AD-TENGs) have firmly established themselves as state-of-the-art technologies for adeptly converting mechanical interactions into electrical signals. Central to the AD-TENG?s prowess is its inherent modularity...
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Hongguo Ren, Yujun Wang, Jing Zhang, Ziming Zheng and Qingqin Wang
As the quality of life and the spiritual and cultural well-being of the inhabitants progress, the current rural infrastructure has challenges in adequately addressing the physical and psychological requirements of individuals. This work presents a method...
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Nor Azlina Ab. Aziz, Tawsif K., Sharifah Noor Masidayu Sayed Ismail, Muhammad Anas Hasnul, Kamarulzaman Ab. Aziz, Siti Zainab Ibrahim, Azlan Abd. Aziz and J. Emerson Raja
Affective computing focuses on instilling emotion awareness in machines. This area has attracted many researchers globally. However, the lack of an affective database based on physiological signals from the Asian continent has been reported. This is an i...
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Haifa Almutairi, Ghulam Mubashar Hassan and Amitava Datta
Increasingly prevalent sleep disorders worldwide significantly affect the well-being of individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence, the accurate classification of sleep stages is crucial for detecting sleep...
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You-Kwang Wang and Chien-Yu Chen
As medical technology continues to evolve, the importance of real-time feedback from physiological signals is increasingly being recognized. The advent of the Internet of Things (IoT) has facilitated seamless connectivity between sensors and virtual netw...
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Rianna Burnham
The behavioural, physiological, and energetic repercussions for wildlife that result from changes in their soundscapes are increasingly being realized. To understand the effects of changing acoustic landscapes, we first must establish the importance of t...
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Guotai Wang, Xingguang Geng, Lin Huang, Xiaoxiao Kang, Jun Zhang, Yitao Zhang and Haiying Zhang
Radial pulse signals are produced by the periodic ejection of blood from the heart, and physiological and pathological information of the human body can be analyzed by extracting the time-domain characteristics of pulse waves. However, since pulse signal...
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Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian and Antonello Rizzi
In this paper, a multi-fractal analysis on a diastolic blood pressure signal is conducted. The signal is measured in a time span of circa one day through the multifractal detrended fluctuation analysis framework. The analysis is performed on asymptotic t...
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Reza Soleimani and Edgar Lobaton
Physiological and kinematic signals from humans are often used for monitoring health. Several processes of interest (e.g., cardiac and respiratory processes, and locomotion) demonstrate periodicity. Training models for inference on these signals (e.g., d...
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Xiao Hu, Fanjie Li and Ruilun Liu
The subjectivity of listeners? emotional responses to music is at the crux of optimizing emotion-aware music recommendation. To address this challenge, we constructed a new multimodal dataset (?HKU956?) with aligned peripheral physiological signals (i.e....
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