most citedA Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects

5 citations · 5 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV20265 cited

A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects

Fei Wang, Tingting Zhang, Wei Xi +8

Wi-Fi sensing has emerged as a powerful non-intrusive technology for recognizing human activities, monitoring vital signs, and enabling context-aware applications using commercial…

cs.CV2026

WS-IMUBench: Can Weakly Supervised Methods from Audio, Image, and Video Be Adapted for IMU-based Temporal Action Localization?

Pei Li, Jiaxi Yin, Lei Ouyang +4

IMU-based Human Activity Recognition (HAR) has enabled a wide range of ubiquitous computing applications, yet its dominant clip classification paradigm cannot capture the rich temp…

cs.CV2026

MobiDiary: Autoregressive Action Captioning with Wearable Devices and Wireless Signals

Fei Deng, Yinghui He, Chuntong Chu +4

Human Activity Recognition (HAR) in smart homes is critical for health monitoring and assistive living. While vision-based systems are common, they face privacy concerns and enviro…

cs.CV2025

XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses

Bo Lan, Pei Li, Jiaxi Yin +5

Human Action Recognition (HAR) plays a crucial role in applications such as health monitoring, smart home automation, and human-computer interaction. While HAR has been extensively…

cs.CV2025

Talk is Not Always Cheap: Promoting Wireless Sensing Models with Text Prompts

Zhenkui Yang, Zeyi Huang, Ge Wang +3

Wireless signal-based human sensing technologies, such as WiFi, millimeter-wave (mmWave) radar, and Radio Frequency Identification (RFID), enable the detection and interpretation o…

cs.CV2025

One Snapshot is All You Need: A Generalized Method for mmWave Signal Generation

Teng Huang, Han Ding, Wenxin Sun +6

Wireless sensing systems, particularly those using mmWave technology, offer distinct advantages over traditional vision-based approaches, such as enhanced privacy and effectiveness…