Publication | Closed Access
HASC2012corpus: Large Scale Human Activity Corpus and Its Application
24
Citations
3
References
2012
Year
Unknown Venue
Wearable SystemEngineeringMachine LearningSpeech CorpusHuman Pose EstimationBiometricsWearable TechnologyHuman MonitoringCorpus LinguisticsText MiningSpeech RecognitionNatural Language ProcessingData ScienceData MiningPattern RecognitionAccelerometer DataAffective ComputingHuman Activity RecognitionHealth SciencesSensor DataKnowledge DiscoveryComputer ScienceVideo UnderstandingMobile ComputingMobile SensingHuman-computer InteractionHuman MovementActivity Recognition
Human activity recognition through the wearable sensor will enable a next-generation human-oriented ubiquitous computing. However, most of researches on the activity recognition so far are based on small number of subjects, and non-public data. To overcome the situation, we have formed a consortium named HASC and create corpora for the research community. In HASC Challenge2010, we have made HASC2011corpus with 116 subjects and 4896 accelerometer data. In HASC Challenge 2011, we have gathered 7,668 sensor data with 136 subjects and compose them as HASC2012corpus. In the field of pattern recognition, it is very important to evaluate and to improve the recognition methods by using the same dataset as a common ground. We make these corpora into public for the research community to use it as a common ground of the Human Activity Recognition. We also show several facts and results of obtained from the corpus.
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