HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Sensing, Recognition, and Prediction Methods / WiFi Fingerprinting and Indoor Localization

Users experience insufficient indoor positioning accuracy with signal interference in settings such as office buildings and shopping malls.

lightbulbPractical problemWiFi Fingerprinting and Indoor Localization

Users experience insufficient indoor positioning accuracy with signal interference in settings such as office buildings and shopping malls.

UbiComp '23Spectral-Loc: Indoor Localization Using Light Spectral Information (Spectral-Loc: Indoor Localization Based on Spectral Information)

Similar questions

lightbulbPractical problemWiFi Fingerprinting and Indoor Localization

Indoor positioning, handwriting tracking, and similar scenarios require higher-precision ranging technology.

UbiComp '24Push the Limit of Highly Accurate Ranging on Commercial UWB Devices

lightbulbPractical problemWiFi Fingerprinting and Indoor Localization

Traditional indoor localization methods struggle to balance accuracy and efficiency and are highly environment-dependent.

UbiComp '23GC-Loc: A Graph Attention Based Framework for Collaborative Indoor Localization Using Infrastructure-free Signals

lightbulbPractical problemWiFi Fingerprinting and Indoor Localization

Users cannot accurately localize indoors, and existing methods are costly and require additional hardware.

UbiComp '23GPS-assisted Indoor Pedestrian Dead Reckoning

lightbulbPractical problemWiFi Fingerprinting and Indoor Localization

IoT devices lack low-power, easy-to-deploy solutions for precise indoor localization.

UbiComp '22ILLOC: In-Hall Localization with Standard LoRaWAN Uplink Frames

lightbulbPractical problemWiFi Fingerprinting and Indoor Localization

Traditional indoor localization technologies have low accuracy in complex environments and fail when line-of-sight is blocked.

UbiComp '22Toward Reliable Non-Line-of-Sight Localization Using Multipath Reflections

lightbulbPractical problemWiFi Fingerprinting and Indoor Localization

Indoor GPS signals are poor; existing positioning methods are expensive, complex, and pose privacy risks.

UbiComp '21EchoSpot: Spotting Your Locations via Acoustic Sensing

Related papers

Push the Limit of Highly Accurate Ranging on Commercial UWB Devices

Junqi Ma, Fusang Zhang, Beihong Jin

GC-Loc: A Graph Attention Based Framework for Collaborative Indoor Localization Using Infrastructure-free Signals

Tao He, Qun Niu, Ning Liu

GPS-assisted Indoor Pedestrian Dead Reckoning

Heng Zhou, Takuya Maekawa