作者: Takashi HamataniMoustafa ElhamsharyAkira UchiyamaTeruo Higashino
刊名: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018, Vol.2 (3), pp.1-25
来源数据库: Association for Computing Machinery Journal
DOI: 10.1145/3264923
关键词: Wearable computingActivity recognitionAutomatic fluid intake monitoringGesture recognitionIn-the-wild evaluation
原始语种摘要: Water is the most vital nutrient in the human body accounting for about 60% of the body weight. To maintain optimal health, it is important for humans to consume a sufficient amount of fluids daily. Therefore, tracking the amount of human daily fluid intake has a myriad of health applications like dehydration prevention. In this paper, we present FluidMeter: a ubiquitous and unobtrusive system to track the amount of fluid intake leveraging the inertial sensors embedded in smartwatches. To achieve this, FluidMeter first separates the drinking activities from other human activities (playing, running, eating, etc.). Thereafter, it analyzes the sampled sensors data during the extracted drinking episodes to recognize the sequence of micro-activities (lift the bottle, sip, release the bottle)...
全文获取路径: ACM  (合作)

  • recognition 识别
  • recognize 承认
  • drinking 
  • human 人的
  • ubiquitous 同时普遍存在的
  • achieve 达到
  • highlighting 突出性
  • monitoring 监视
  • unobtrusive 不引人注目的
  • machine 机器