Vol. 37 No. 3(3)
Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest Editor: Kaori Fujinami (Tokyo University of Agriculture and Technology)
Video object detection is a key technology for detecting and tracking humans and animals in behavior-understanding tasks. Furthermore, detecting small-scale interactors involved in human activiti ... Read More
With the increasing incidence of autism spectrum disorders (ASDs), the physical and mental status of patients and the economic burden on their families have become a major concern. Individuals wi ... Read More
The accuracy requirements for indoor pedestrian navigation are steadily increasing. Traditional algorithms in inertial navigation systems face issues such as cumulative errors and unclear heading ... Read More
Gait phase recognition plays a key role in the motion control of exoskeleton robots. Surface electromyography (sEMG) is predictive and contributes to accurate gait phase recognition. To address t ... Read More
With the growing interest in enhancing the well-being of pets through advanced technology, in this study, we address the challenge of accurately recognizing animal behavior using wearable sensors ... Read More
The global aging population is expected to exceed 2.1 billion, representing 21.65% of the total population by 2050. This demographic shift underscores the urgent need for efficient elderly care, ... Read More
S&M3971Research Paper of Special Issue |
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S&M3971 Flexible Temporal Correlation Learning for Human, Animal, and Interactor Detection in Videos Yanjun Feng and Jun Liu pp. 987-1006 https://doi.org/10.18494/SAM4423 Published on March 28, 2025 PDF (open access) |
S&M3972Review Paper of Special Issue |
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S&M3972 Visual Human Behavior Sensing and Understanding for Autism Spectrum Disorder Treatment: A Review Xuna Wang, Hongwei Gao, Yutong Zhang, Yueqiu Jiang, and Jiahui Yu pp. 1007-1029 https://doi.org/10.18494/SAM4468 Published on March 28, 2025 PDF (open access) |
S&M3973Research Paper of Special Issue |
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S&M3973 Indoor Pedestrian Navigation Research Based on Zero Velocity Correction and Sliding Window Boqi Wu, Chenyang Cao,Yang Zhao, and Yaodan Chi pp. 1031-1051 https://doi.org/10.18494/SAM4708 Published on March 28, 2025 PDF (open access) |
S&M3974Research Paper of Special Issue |
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S&M3974 Gait Phase Recognition Based on Lower Limb Surface Electromyography Signals Using a Novel Algorithm to Improve Motion Intention Recognition Accuracy Bing Xie, Yuming Qi, and Wenhua Gao pp. 1053-1072 https://doi.org/10.18494/SAM5123 Published on March 28, 2025 PDF (open access) |
S&M3975Research Paper of Special Issue |
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S&M3975 Cat and Dog Behavior Recognition Method Using Deep Learning Approach Based on Inertial Measurement Unit Sensor Data Guanyu Chen, Yoshinari Takegawa, Kohei Matsumura, Hiroki Watanabe, and Keiji Hirata pp. 1073-1098 https://doi.org/10.18494/SAM5359 Published on March 28, 2025 PDF (open access) |
S&M3976Research Paper of Special Issue |
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S&M3976 Integrating Sensor Data with Large Language Models for Enhanced Elderly Care: A Methodological Framework Ziaullah Momand, Pornchai Mongkolnam, Jonathan H. Chan, and Nipon Charoenkitkarn pp. 1099-1138 https://doi.org/10.18494/SAM5387 Published on March 28, 2025 PDF (open access) |
Cover of this Issue |
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