lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Indoor action recognition lacks large-scale, multi-category open datasets.Direction: Sensing, Recognition, and Prediction Methods
Activity Recognition, Segmentation, and Identity Discrimination Methods
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2024
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14 items
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
WiFi sensing is limited by data scarcity, restricting application scale.lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Current wearables struggle to accurately recognize complex activities such as running or drinking water.UbiComp '24HyperHAR: Inter-sensing Device Bilateral Correlations and Hyper-correlations Learning Approach for Wearable Sensing Device Based Human Activity Recognition
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Technology design overemphasizes goal completion and neglects the deep meaning of human activity itself.lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Existing WiFi recognition systems are impractical due to environmental changes and struggle to identify new users.UbiComp '22MetaGanFi: Cross-Domain Unseen Individual Identification Using WiFi Signals
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
In team or multi-user scenarios, action recognition systems struggle to precisely distinguish individual user behavior.UbiComp '22IMar: Multi-user Continuous Action Recognition with WiFi Signals
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Smart buildings struggle to accurately identify footstep signals when multiple people walk simultaneously.UbiComp '22Recursive Sparse Representation for Identifying Multiple Concurrent Occupants Using Floor Vibration Sensing
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Users struggle to accurately monitor activities and transportation modes with smart devices.UbiComp '21An Empirical Approach for Human Locomotion and Transportation Recognition from Radio Data
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
In smart homes, existing methods cannot efficiently handle gait variation and static identification.UbiComp '21RF-Identity: Non-Intrusive Person Identification Based on Commodity RFID Devices
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Portable devices struggle to accurately recognize human activities when location data are missing.UbiComp '21Phased Human Activity Recognition based on GPS
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Existing activity recognition datasets and algorithms fail to meet complex scenario demands, with insufficient performance in real-world applications.UbiComp '219th International Workshop on Human Activity Sensing Corpus and Applications (HASCA)
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Users cannot monitor their chewing and swallowing behaviors in real time in everyday dining environments.UbiComp '21Automatic Segmentation Method of Bone Conduction Sound for Eating Activity Detailed Detection
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Users' idle attention moments are difficult to identify, missing opportunities to improve experience.UbiComp '21Killing-Time Detection from Smartphone Screenshots
lightbulbPractical problemActivity Recognition, Segmentation, and Identity Discrimination Methods
Edge servers struggle to efficiently process action recognition tasks in compressed video.UbiComp '21Physical Knowledge Driven Multi-scale Temporal Receptive Field Network for Compressed Video Action Recognition
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UbiComp 2024
XRF55: A Radio Frequency Dataset for Human Indoor Action Analysis
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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
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