Now showing items 1-4 of 4

    • Analysis of animal accelerometer data using hidden Markov models 

      Leos-Barajas, Vianey; Photopoulou, Theoni; Langrock, Roland; Patterson, Toby A.; Watanabe, Yuuki Y.; Murgatroyd, Megan; Papastamatiou, Yannis P. (2017-02) - Journal article
      1. Use of accelerometers is now widespread within animal biologging as they provide a means of measuring an animal's activity in a meaningful and quantitative way where direct observation is not possible. In sequential ...
    • Discovery and recognition of emerging human activities using a hierarchical mixture of directional statistical models 

      Fang, Lei; Ye, Juan; Dobson, Simon Andrew (2019-03-15) - Journal article
      Human activity recognition plays a significant role in enabling pervasive applications as it abstracts low-level noisy sensor data into high-level human activities, which applications can respond to. With more and more ...
    • Fault detection for binary sensors in smart home environments 

      Ye, Juan; Stevenson, Graeme; Dobson, Simon (IEEE Computer Society, 2015-03-23) - Conference item
      Experiments in assisted living confirm that such systems can provide context-aware services that enable occupants to remain active and independent. They also demonstrate that abnormal sensor events hamper the correct ...
    • Sensors in smart homes for independent living of elderly 

      Pirzada, Pireh; White, Neil; Wilde, Adriana Gabriela (2018-04-25) - Conference paper
      A rapidly ageing population requires support systems which would enable them to preserve dwellers’ independence without compromising on their safety or their quality of life. Smart homes for the elderly have the potential ...