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In the research of Lai et al. [10], confusion matrix data appears to be split into two clusters grouped based on performed actions: fall and non-fall. Their model is capable of classifying non-fall activities almost perfectly. However, our model still gives better clas-sification performance in this group of activities.
In the group of fall activities, the model of Lai et al. [10] has decent recognition per-formance. Example: Falling backward (Column 3, FB) only correctly classified 62.7%. Our model gives an almost perfect performance in recognizing fall activities. It is even better than the model [10] when it comes to detecting non-falling activities.
With the proposed feature set, our model has good recognition ability in all activities in the UP-Fall dataset. All activities are over 90% detectable. In particular, the ability to detect activities such as walking, standing, sitting, Jumping, Laying achieved excellent performance, 99.8% or more.
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IEEE/ICACT20220120 Slide.13
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