Multimodal Classification Technique for Fall Detection of Alzheimer’s Patients by Integration of a Novel Piezoelectric Crystal Accelerometer and Aluminum Gyroscope with Vision Data

Table 1

Different multimodal fall detection datasets.

Dataset	Sensor type	Camera type
University of Rzeszow fall detection dataset [20]	One IMU with an accelerometer	Two Kinect cameras
Berkeley multimodal human action database [21]	Six accelerometers	One motion capture system, four multiview cameras, and one Kinect system
UP fall detection dataset [10]	Five IMU with accelerometer and gyroscope, one EEG headset, and six infrared sensors	Front and back two cameras