Effects of Housing Environments on Human Activity Recognition using Fine-grained WiFi Signatures


Monitoring human activities in daily living (ADL) using fine-grained Wi-Fi signal signatures has the great potential to support an intelligent eldercare system in a home environment. Such an approach analyzes Channel State... [ view full abstract ]


  1. Hoonyong Lee (Texas A&M University)
  2. Aryan Sharma (Texas A&M University)
  3. Changbum Ahn (Texas A&M University)
  4. Nakjung Choi (Nokia Bell labs)
  5. Toseung Kim (Seoul National University)

Topic Areas

Analysis, simulation and sensing , Big Data, data mining and machine learning


O15 » Housing (12:45 - Thursday, 7th June, Sonaatti 1)



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