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MAWKDN: A multimodal fusion wavelet knowledge distillation approach based on cross-view attention for action recognition
The recognition performance of existing vision-based human action recognition (HAR)
methods is greatly reduced in the case of low camera resolution or occlusion. Wearable …
methods is greatly reduced in the case of low camera resolution or occlusion. Wearable …
SMTDKD: A semantic-aware multimodal transformer fusion decoupled knowledge distillation method for action recognition
Multimodal sensors, including vision sensors and wearable sensors, offer valuable
complementary information for accurate recognition tasks. Nonetheless, the heterogeneity …
complementary information for accurate recognition tasks. Nonetheless, the heterogeneity …
[HTML][HTML] Online continual learning for human activity recognition
Sensor-based human activity recognition (HAR), with the ability to recognise human
activities from wearable or embedded sensors, has been playing an important role in many …
activities from wearable or embedded sensors, has been playing an important role in many …
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks
Rehabilitation training for patients with limb activity dysfunction and sub-healthy state has
gradually shifted from therapies to strategies with remote assistance. Stochastic …
gradually shifted from therapies to strategies with remote assistance. Stochastic …
Cross-person activity recognition method using snapshot ensemble learning
Human activity recognition (HAR) is one of the most promising technologies in the smart
home, especially radio frequency (RF-based) method, which has the advantages of low cost …
home, especially radio frequency (RF-based) method, which has the advantages of low cost …
The Solution for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition
S Pan, X Wu, T Li, L Huang, M Feng, Z Wan… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper presents a data-free, parameter-isolation-based continual learning algorithm we
developed for the sequential task continual learning track of the 2nd Greater Bay Area …
developed for the sequential task continual learning track of the 2nd Greater Bay Area …
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
Continual learning (CL) aims to enable deep neural networks (DNNs) to learn new data
without forgetting previously learned knowledge. The key to achieving this goal is to avoid …
without forgetting previously learned knowledge. The key to achieving this goal is to avoid …
Multi-AP CSI fusion and features optimization-based behavioral sensing on WiFi platform
J Ding, Y Wang, J Zhang, H Chen, H Si… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The prevalence of WiFi infrastructures has enabled the advancement of a wide range of WiFi-
based intelligent applications. Behavioral sensing, as an increasingly popular example, is …
based intelligent applications. Behavioral sensing, as an increasingly popular example, is …
[HTML][HTML] Non-Contact Cross-Person Activity Recognition by Deep Metric Ensemble Learning
In elderly monitoring or indoor intrusion detection, the recognition of human activity is a key
task. Owing to several strengths of Wi-Fi-based devices, including their non-contact and …
task. Owing to several strengths of Wi-Fi-based devices, including their non-contact and …
Jointly prediction of activities, locations, and starting times for isolated elderly people
Restrictive public health measures such as isolation and quarantine have been used to
reduce the pandemic virus's transmission. With no proper treatment, older adults have been …
reduce the pandemic virus's transmission. With no proper treatment, older adults have been …