Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
Human activity prediction based on forecasted IMU activity signals by sequence-to-sequence deep neural networks
Human Activity Recognition (HAR) has gained significant attention due to its broad range of
applications, such as healthcare, industrial work safety, activity assistance, and driver …
applications, such as healthcare, industrial work safety, activity assistance, and driver …
Biosensor-driven IoT wearables for accurate body motion tracking and localization
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …
rapid expansion within the realm of research. This domain boasts significant potential across …
A Review of Wearable Optical Fiber Sensors for Rehabilitation Monitoring
X Li, Y Li, H Wei, C Wang, B Liu - Sensors, 2024 - mdpi.com
As the global aging population increases, the demand for rehabilitation of elderly hand
conditions has attracted increased attention in the field of wearable sensors. Owing to their …
conditions has attracted increased attention in the field of wearable sensors. Owing to their …
Current situations and development tendencies for the body measurement technology in digital Skiing: A review
L Guan, X Zhang, X Cong, Z Zhang, Z Yang, N Li… - Measurement, 2024 - Elsevier
Currently, the utilization of micro-computer-aided technologies for the dynamic motion
capture of sports digitalization is increasing gradually. To obtain the accurate athletics digital …
capture of sports digitalization is increasing gradually. To obtain the accurate athletics digital …
Deep ontology-based human locomotor activity recognition system via multisensory devices
Recognition of human locomotor activities is crucial for monitoring the motion patterns.
Current studies for human locomotor activities recognition focused on detecting basic motion …
Current studies for human locomotor activities recognition focused on detecting basic motion …
A wearable inertial sensor approach for locomotion and localization recognition on physical activity
Advancements in sensing technology have expanded the capabilities of both wearable
devices and smartphones, which are now commonly equipped with inertial sensors such as …
devices and smartphones, which are now commonly equipped with inertial sensors such as …
Edgeactnet: Edge intelligence-enabled human activity recognition using radar point cloud
Human activity recognition (HAR) has become a research hotspot because of its wide range
of application prospects. It has higher requirements for real-time and power-efficient …
of application prospects. It has higher requirements for real-time and power-efficient …
A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors
Frameworks for human activity recognition (HAR) can be applied in the clinical environment
for monitoring patients' motor and functional abilities either remotely or within a rehabilitation …
for monitoring patients' motor and functional abilities either remotely or within a rehabilitation …
[HTML][HTML] 基于点云时空特征的超宽带雷达轻量化人体行为识别方法
宋永坤， 晏天兴， 张可， 刘显， 戴永鹏， 金添 - 雷达学报, 2024 - radars.ac.cn
低频超宽带(UWB) 雷达因其良好穿透性和分辨率, 在人体行为识别领域具有显著的优势.
针对现有的动作识别算法运算量大, 网络参数多的问题, 该文提出了一种基于时空点云的高效且 …
针对现有的动作识别算法运算量大, 网络参数多的问题, 该文提出了一种基于时空点云的高效且 …