HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Sensing, Recognition, and Prediction Methods / Environmental Detection, Quality Monitoring, and Anomaly Identification Methods

Existing systems struggle to accurately predict sudden air quality changes, affecting decision-maker response efficiency.

lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods

Existing systems struggle to accurately predict sudden air quality changes, affecting decision-maker response efficiency.

UbiComp '21TIP-Air: Tracking Pollution Transfer for Accurate Air Quality Prediction

Similar questions

lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods

Existing fire detection equipment is costly, interference-sensitive, and has limited coverage.

UbiComp '23HearFire: Indoor Fire Detection via Inaudible Acoustic Sensing

lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods

Electrical tomography in industrial monitoring struggles to accurately detect internal structural details.

UbiComp '22Use of the two-stage neural system in industrial electrical tomography - hybrid approach

lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods

Under smart city monitoring, smoke is difficult to detect accurately under foggy conditions.

UbiComp '21Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment

lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods

Consumers cannot detect internal fruit quality at low cost and with high accuracy.

UbiComp '21Wi-Fruit: See Through Fruits with Smart Devices

lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods

Airports and military facilities struggle to detect and identify potential drone threats under low visibility.

UbiComp '21DronePrint: Acoustic Signatures for Open-set Drone Detection and Identification with Online Data

lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods

Manual counting of IV drip rates by nurses is time-consuming and error-prone.

UbiComp '21DropMonitor: Millimeter-level Sensing for RFID-based Infusion Drip Rate Monitoring

Related papers

HearFire: Indoor Fire Detection via Inaudible Acoustic Sensing

Zheng Wang, Yanwen Wang, Mi Tian