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Conventional context-aware systems normally use accelerometers and gyroscopes, and it is difficult to recognize contexts such as having a meal, or going to the toilet. We propose a new context recognition method based on scent using a wearable scent sensor. Since our algorithm considers the characteristics of scent, it recognizes contexts that find difficult to recognize by conventional sensors. Evaluation results demonstrated that scent sensors identify the context of having a meal with 94% accuracy and going to the toilet with 97% accuracy. We also implemented a context-aware life-log system for healthcare.
Date of Conference: 12-15 June 2011