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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1603.07080/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1603.07080/feed.xml" rel="self" type="application/rss+xml" /><item><title>CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach — mentioned by qrv3w</title><link>https://news.ycombinator.com/item?id=12377493</link><guid isPermaLink="false">urn:hackerpapers:mention:1603.07080:12377493</guid><pubDate>Sun, 28 Aug 2016 17:46:37 GMT</pubDate><description>&lt;p&gt;FIND author here. It&amp;#x27;s not doing internal positioning with Channel State Information (CSI), but there are folks that are [1]. The approach in FIND is different [2] - FIND just uses RSSI+MAC information which works great on mobile devices and simple esp8266 chips and doesn&amp;#x27;t require code for the specific network interface. As far as I know you have to write some network card specific code to be able to use CSI. [1] https://arxiv.org/pdf/1603.07080.pdf [2] https://github.com/schollz/find#about&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1603.07080/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NI</category></item></channel></rss>
