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Title	Home : Sozo Lab., Kyushu Institute of
Description	Human Activity in the Applying machine learning and internet of things to activity recognition, healthcare and nursing technology. 機械学習と IoT を活用して行動認識とヘルスケア応用を研究する九州工業大学工学部総合システム工学科大学院工学研究院先端機能システム工学専攻井上創造
Keywords	Ubiquitous Smartphone Human Activity Sensor Preventive Healthcare Japan Kyutech Research Lab IoT Internet of things Artificial Intelligence AI Machine learning Deep learning ユビキタススマートフォン人間行動センサー予防医療ヘルスケア日本九州工業大学研究研究室 IoT 人工知能機械学習深層学習

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Sozo Lab., Kyushu Institute of Technology Sozo Inoue Research Members Blog Facebook Datasets Education Q&A Contact Access Japanese English Chinese Login Human Activity in the World. Making a fantastic goal at a football game, playing an instrument, spreading manure over the field, watering flowers, manufacturing a trial, caring elderly people, or performing an operation by doctor..., what we commonly have here is human "activity". If we can automatically track the human activity, a computer will be able to support or provide a new service for these activities. Those can be utilized not only for entertainment such sports or instruments, but also for agriculture or medical care which are crucial domains for human beings. In our laboratory, we are developing a system by which accelerometer information from smartphones such as iPhones or Androids is easily and globally gathered, and based on the information, researching technique which will be utilized to various services by recognizing

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