Title:
DEVICE-FREE LOCALIZATION ROBUST TO ENVIRONMENTAL CHANGES
Document Type and Number:
WIPO Patent Application WO/2021/157902
Kind Code:
A1
Abstract:
A method of location determination with a WiFi transceiver and an AI model includes jointly training, based on various losses: a feature extractor, a location classifier, and a domain classifier. The domain classifier may include a first domain classifier and a second domain classifier. The losses used for training tend to cause feature data from the feature extractor to cluster even if a physical object in an environment has moved after training is completed. Then, the location classifier is able to accurately estimate the position of, for example, a person in a room, even if a door or window has changed from open to close or close to open between the time of training and the time of estimating the person's position.
Inventors:
LI HANG (US)
CHEN XI (US)
WU DI (US)
LIU XUE (US)
CHEN XI (US)
WU DI (US)
LIU XUE (US)
Application Number:
PCT/KR2021/000684
Publication Date:
August 12, 2021
Filing Date:
January 18, 2021
Export Citation:
Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G01S5/02; G01S11/06; G06N3/02
Domestic Patent References:
| WO2020008365A2 | 2020-01-09 |
Foreign References:
| US20180356491A1 | 2018-12-13 | |||
| US20150237471A1 | 2015-08-20 | |||
| US9915722B2 | 2018-03-13 |
Other References:
ABDUL SAMADH SHABIR; LIU QIANYU; LIU XUE; GHOURCHIAN NEGAR; ALLEGUE MICHEL: "Indoor Localization Based on Channel State Information", 2019 IEEE TOPICAL CONFERENCE ON WIRELESS SENSORS AND SENSOR NETWORKS (WISNET), 20 January 2019 (2019-01-20), pages 1 - 4, XP033548174, DOI: 10.1109/WISNET.2019.8711803
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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