helpResearch questionActivity Recognition, Segmentation, and Identity Discrimination Methods
What are the limitations of existing consequentialist-oriented HCI frameworks, and how can they be improved to support non-consequential activity?Sensing, Recognition, and Prediction Methods / Activity Recognition, Segmentation, and Identity Discrimination Methods
What are the limitations of existing consequentialist-oriented HCI frameworks, and how can they be improved to support non-consequential activity?
Similar questions
helpResearch questionActivity Recognition, Segmentation, and Identity Discrimination Methods
How can a large-scale, diverse RF dataset be built to support indoor human behavior recognition?helpResearch questionActivity Recognition, Segmentation, and Identity Discrimination Methods
How can multimodal RF signals (e.g., RFID, Wi-Fi, millimeter-wave) collaborate to improve action recognition?helpResearch questionActivity Recognition, Segmentation, and Identity Discrimination Methods
How can semantic embeddings (e.g., BERT) assist RF signal action classification?helpResearch questionActivity Recognition, Segmentation, and Identity Discrimination Methods
How can physics-based data augmentation improve deep WiFi sensing (DWS) performance?helpResearch questionActivity Recognition, Segmentation, and Identity Discrimination Methods
How can frequency-domain, time-domain, and motion-based augmentation effectively expand WiFi data samples?helpResearch questionActivity Recognition, Segmentation, and Identity Discrimination Methods
To what extent can RFBoost improve human activity recognition accuracy, especially on imbalanced datasets?Related papers
UbiComp 2024
XRF55: A Radio Frequency Dataset for Human Indoor Action Analysis
Fei Wang, Yizhe Lv, Mengdie Zhu
UbiComp 2024
RFBoost: Understanding and Boosting Deep WiFi Sensing via Physical Data Augmentation
Weiying Hou, Chenshu Wu
CHI 2024
Searching for the Non-Consequential: Dialectical Activities in HCI and the Limits of Computers
Haoqi Zhang