Improving WiFi-based Human Activity Recognition with Adaptive Initial State via One-shot Learning

SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing

“… 58 2021 human activity recognition CNN Nexmon CSI Tool supervised learning Ding et al. 59 2021 human activity recognition CNN Intel 5300 NIC few-shot learning Widar 37 2021 human identification, gesture recognition CNN-GRU Intel 5300 NIC supervised learning WiONE 60 2021 human identification CNN Intel 5300 NIC few-shot learning Ma et al. 61 2021 human activity recognition CNN, RNN, LSTM Intel 5300 NIC supervised learning THAT 62 2021 human activity recognition Transformers Intel 5300 NIC supervised learning WiGr 63 2021 gesture recognition CNN-LSTM Intel 5300 NIC supervised learning MCBAR 64 2021 human activity recognition CNN, GAN Atheros CSI Tool semi-supervised learning CAUTION 12 2022 human identification CNN Atheros CSI Tool few-shot learning CTS-AM 65 2022 human activity recognition CNN (attention) Intel 5300 NIC supervised learning WiGRUNT 66 2022 gesture recognition CNN (attention) Intel 5300 NIC supervised learning Zhuravchak et al.…”

Wi-Fi-Based Location-Independent Human Activity Recognition with Attention Mechanism Enhanced Method

“…Aiming to drive wireless sensing technology from academic research to industrial application, we urgently need to propose a method to alleviate the issue of domain shifts caused by positional differences, which force the models to fail to generalize between different locations. Considering the case of insufficient samples, we propose a model inspired by few-shot learning [32,33] to achieve LI-HAR in this paper.…”

Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial

“…The advantages of CNNs for WiFi sensing consist of fewer training parameters and the preservation of the subcarrier and time dimension in CSI data. However, the disadvantage is that CNN has an insufficient receptive field due to the limited kernel size and thus fails to capture the [40] People Counting MLP Intel 5300 NIC Supervised learning EI [41] Human Activity Recognition CNN Intel 5300 NIC Transfer learning CrossSense [29] Human Identification,Gesture Recognition MLP Intel 5300 NIC Transfer Ensemble learning [42] Human Activity Recognition LSTM Intel 5300 NIC Supervised learning DeepSense [5] Human Activity Recognition CNN-LSTM Atheros CSI Tool Supervised learning WiADG [25] Gesture Recognition CNN Atheros CSI Tool Transfer learning WiSDAR [43] Human Activity Recognition CNN-LSTM Intel 5300 NIC Supervised learning WiVi [7] Human Activity Recognition CNN Atheros CSI Tool Supervised learning SiaNet [9] Gesture Recognition CNN-LSTM Atheros CSI Tool Few-Shot learning CSIGAN [44] Gesture Recognition CNN, GAN Atheros CSI Tool Semi-Supervised learning DeepMV [45] Human Activity Recognition CNN (Attention) Intel 5300 NIC Supervised learning WIHF [46] Gesture Recognition CNN-GRU Intel 5300 NIC Supervised learning DeepSeg [47] Human Activity Recognition CNN Intel 5300 NIC Supervised learning [48] Human Activity Recognition CNN-LSTM Intel 5300 NIC Supervised learning [35] Human Activity Recognition LSTM Nexmon CSI Tool Supervised learning [49] Human Activity Recognition CNN Nexmon CSI Tool Supervised learning [50] Human Activity Recognition CNN Intel 5300 NIC Few-Shot learning Widar [31] Human Identification, Gesture Recognition CNN-GRU Intel 5300 NIC Supervised learning WiONE [51] Human Identification CNN Intel 5300 NIC Few-Shot learning [52] Human Activity Recognition CNN, RNN, LSTM Intel 5300 NIC Supervised learning THAT [53] Human Activity Recognition Transformers Intel 5300 NIC Supervised learning WiGr [54] Gesture Recognition CNN-LSTM Intel 5300 NIC Supervised learning MCBAR [55] Human Activity Recognition CNN, GAN Atheros CSI Tool Semi-Supervised learning CAUTION [12] Human Identification CNN Atheros CSI Tool Few-Shot learning CTS-AM [56] Human Activity Recognition CNN (Attention) Intel 5300 NIC Supervised learning WiGRUNT…”