Identifying Users and Activities with Cognitive Signal Processing from a Wearable Headband
Predictions
1.Predicting a person
2.Predicting an activity
3.Predicting a person as well as the activity
Contributions: propose a method of data representation-histograms representation
This paper shows that histograms of brain signals can be a very useful representation for data mining
activities. One of the primary advantages of the histograms is that they reduce the variable length
of signals to fixed length representations.
ideas from reading this paper
combining activities predicting/emotion recognition to a system.
Cite this paper
Wiechert, Glavin & Triff, Matt & Liu, Zhixing & Yin, Zhicheng & Zhao, Shuai & Zhong, Ziyun & Zhaou, Runxing & Lingras, Pawan. (2016). Identifying users and activities with cognitive signal processing from a wearable headband. 129-136. 10.1109/ICCI-CC.2016.7862025.