Abstract
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 confirmed that scent sensors identify having a meal with 94% accuracy, visiting a rest room with 97% accuracy. Furthermore, we implemented context-aware systems such as a life-log system for healthcare.
