{"id":32400,"date":"2026-01-21T17:01:53","date_gmt":"2026-01-21T17:01:53","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/retrieval-based-annotation-for-multi-channel-time-series-data-of-human-activities\/"},"modified":"2026-09-17T11:24:00","modified_gmt":"2026-09-17T11:24:00","slug":"retrieval-based-annotation-for-multi-channel-time-series-data-of-human-activities","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/retrieval-based-annotation-for-multi-channel-time-series-data-of-human-activities\/","title":{"rendered":"Retrieval-based Annotation for Multi-Channel Time Series Data of Human Activities"},"content":{"rendered":"<p>Recent years have seen a rise in the number of labelled human activity datasets to support supervised learning of activity recognition. However, synchronisation and manual annotation of various multi-channel time-series data are cumbersome. Prior research focused on creating datasets that are convenient to annotate, leading to a scarcity of natural activity data that includes various subjects and activities. Therefore, an offline manual annotation tool for efficient labelling activities is desired. This work presents a semi-automatic annotation technique for multi-channel time-series human activity data, utilising a retrieval-based approach to reduce annotation effort. We present an annotation tool that accepts a variety of input data types and supports both manual and semi-automatic annotation. We benchmark the different approaches.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recent years have seen a rise in the number of labelled human activity datasets to support supervised learning of activity recognition. However, synchronisation and manual annotation of various multi-channel time-series data are cumbersome. Prior research focused on creating datasets that are convenient to annotate, leading to a scarcity of natural activity data that includes various subjects and activities. Therefore, an offline manual annotation tool for efficient labelling activities is desired. [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[32],"class_list":["post-32400","publication","type-publication","status-publish","hentry","publication-type-inproceedings"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32400","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/14"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32400\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32400"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32400"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}