HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Sensing, Recognition, and Prediction Methods / Predictive Modeling, Behavior Inference, and Trend Estimation Methods

How can mathematical modeling and experimental validation optimize transmitter and receiver placement to improve WiFi sensing performance?

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can mathematical modeling and experimental validation optimize transmitter and receiver placement to improve WiFi sensing performance?

UbiComp '22Placement Matters: Understanding the Effects of Device Placement for WiFi Sensing

Similar questions

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can multimodal information (text, audio, video) improve dialogue act classification performance?

CUI '24Multimodal Dialog Act Classification for Conversations With Digital Characters

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How does cross-modal attention enhance multimodal data performance in dialogue act classification?

CUI '24Multimodal Dialog Act Classification for Conversations With Digital Characters

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can real-time dialogue act prediction be achieved through multimodal data?

CUI '24Multimodal Dialog Act Classification for Conversations With Digital Characters

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can COTS WiFi devices simultaneously identify and image liquids and containers?

UbiComp '24LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

How can electromagnetic scattering models compensate for precise modeling gaps of centimeter-scale container effects on signals?

UbiComp '24LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

helpResearch questionPredictive Modeling, Behavior Inference, and Trend Estimation Methods

Can combining deep learning with physical modeling improve accuracy and robustness of liquid identification and container imaging?

UbiComp '24LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

Related papers

LiquImager: Fine-grained Liquid Identification and Container Imaging System with COTS WiFi Devices

Fei Shang, Panlong Yang, Dawei Yan

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

Xiaochen Li, Sicong Liu, Zimu Zhou

Predicting early user churn in a public digital weight loss intervention

Robert Jakob, Nils Lepper, Elgar Fleisch

Amortized Inference with User Simulations

Hee-Seung Moon, Antti Oulasvirta, Byungjoo Lee

Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships

Eunice Jun, Audrey Seo, Jeffrey Heer

Speeding up Inference with User Simulators through Policy Modulation

Hee-Seung Moon, Seungwon Do, Wonjae Kim

Modeling Touch Point Distribution with Rotational Dual Gaussian Model

Yan Ma, Shumin Zhai, IV Ramakrishnan