{"id":1259,"date":"2022-04-25T20:03:06","date_gmt":"2022-04-26T05:03:06","guid":{"rendered":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/?p=1259"},"modified":"2022-04-25T20:03:09","modified_gmt":"2022-04-26T05:03:09","slug":"mimosense-an-open-crowdsensing-platform-for-micro-mobility","status":"publish","type":"post","link":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/en\/2022\/04\/25\/mimosense-an-open-crowdsensing-platform-for-micro-mobility\/","title":{"rendered":"MiMoSense: an Open Crowdsensing Platform for Micro-Mobility"},"content":{"rendered":"\n<p>The use of micro-mobility (e.g., bicycle and scooter) and their data for urban sensing and rider assessment is becoming increasingly popular in research. However, different research topics require different sensor setups; no general data collecting tools for the micro-mobility makes the researcher who wishes to collect data has to build their own collecting system from scratch. To this end, we present MiMoSense, an open crowdsensing platform for micro-mobility. MiMoSense consists of two components: (1) MiMoSense server, which is set up on the cloud, and used to manage sensing studies and the collected data for research and sharing. (2) MiMoSense client, uses micro-mobility carrying various sensors and IoT devices to collect multiple kinds of data during traveling. As a reusable open-source software, MiMoSense shifts the researcher\u2019s focus from software development to sensing data analysis; it can help researchers quickly develop an extensible platform for collecting micro-mobility\u2019s raw sensing data and inferring traveling context. We have evaluated MiMoSense\u2019s battery consumption, message latency and discuss its use.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The use of micro-mobility (e.g., bicycle and scooter) and their data for urban sensing and rider assessment is becoming increasingly popular in research. However, different research topics require different sensor setups; no general data collecting tools for the micro-mobility makes<\/p>\n","protected":false},"author":2,"featured_media":1234,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_locale":"en_US","_original_post":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/?p=1259"},"categories":[11,6],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/posts\/1259"}],"collection":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/comments?post=1259"}],"version-history":[{"count":1,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/posts\/1259\/revisions"}],"predecessor-version":[{"id":1261,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/posts\/1259\/revisions\/1261"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/media\/1234"}],"wp:attachment":[{"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/media?parent=1259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/categories?post=1259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mcl.iis.u-tokyo.ac.jp\/wp-json\/wp\/v2\/tags?post=1259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}