GoPlaces: An App for Personalized Indoor Place Prediction

Pritam Sen, Xiaopeng Jiang, Qiong Wu, Manoop Talasila, Wen Ling Hsu, Cristian Borcea

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High-accuracy and low-latency indoor place prediction for mobile users can enable a wide range of applications for domains such as assisted living and smart homes. Previous studies used localization techniques that are difficult to deploy, may negatively impact user privacy, and are not suitable for personalized place prediction. To solve these challenges, we propose GoPlaces, a phone app that fuses inertial sensor data with distances estimated by the WiFi Round Trip Time (WiFi-RTT) protocol to predict the indoor places visited by a user. GoPlaces does not require help from servers or localization infrastructure, except for one cheap off-the-shelf WiFi access point that supports ranging with RTT. GoPlaces enables personalized place naming and prediction, and it protects users' location privacy. GoPlaces uses an attention-based BiLSTM model to detect user's current trajectory, which is then used together with historical information stored in a prediction tree to infer user's future places. We implemented GoPlaces in Android and evaluated it in several indoor spaces. The experimental results demonstrate prediction accuracy as high as 86%. Furthermore, they show GoPlaces is feasible in real life because it has low latency and low resource consumption on phones.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages566-574
Number of pages9
ISBN (Electronic)9798350324334
DOIs
StatePublished - 2023
Event20th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023 - Toronto, Canada
Duration: Sep 25 2023Sep 27 2023

Publication series

NameProceedings - 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023

Conference

Conference20th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023
Country/TerritoryCanada
CityToronto
Period9/25/239/27/23

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Modeling and Simulation
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management

Keywords

  • Deep learning
  • Indoor place prediction
  • Sensor fusion
  • Smart phones
  • Time series analysis
  • WiFi-RTT

Fingerprint

Dive into the research topics of 'GoPlaces: An App for Personalized Indoor Place Prediction'. Together they form a unique fingerprint.

Cite this