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{"id":1949,"date":"2022-03-08T13:25:04","date_gmt":"2022-03-08T13:25:04","guid":{"rendered":"https:\/\/metricsproject.eu\/?page_id=1949"},"modified":"2022-11-01T18:57:49","modified_gmt":"2022-11-01T18:57:49","slug":"2022-cascade-campaign","status":"publish","type":"page","link":"https:\/\/metricsproject.eu\/healthcare\/2022-cascade-campaign\/","title":{"rendered":"HEART-MET 2022 Cascade Campaign"},"content":{"rendered":"
\n
\n\t

The HEART-MET<\/strong> cascade campaign<\/h1>\n

We are happy to announce results of the test phase METRICS HEART-MET Assistive Robot Challenge at IROS 2022<\/a>, conducted entirely online<\/b> based on datasets.<\/p>\n

Challenges<\/b><\/h3>\n

Three challenges were included in this competition: gesture recognition, activity recognition, and handover failure detection.<\/p>\n

The gesture and activity recognition datasets comprise of short video clips of persons performing different gestures and activities in domestic environments, which need to be recognized. The datasets also contain out-of-distribution (OOD) samples, including corrupted and irrelevant videos - therefore the task requires detection of OOD samples as well.<\/p>\n