A Review of Wrist-Worn Wearable: Sensors, Models, and Challenges

Table 9

Modeling techniques used for affective studies.

Modeling techniques	Activity studies	Affect studies
Threshold-based	[2, 16, 64, 65, 69, 70]
SVM	[3, 66, 68]	[4, 5]
Decision tree	[66, 68]	[4, 79]
k-Nearest neighbors	[66]	[75, 79, 85]
Multilayer perceptron	[66]	[73, 75, 76]
Data mining		[63, 77, 81]
Random forest	[66]	[4]
Fuzzy logic		[73, 78]
Naïve Bayes	[66]
C4.5	[3]
Random tree		[4]
Regression		[83]
Linear discriminant analysis		[75]
Ontology-based		[78]
Deep learning neural network	[71]