The elderly cabinet taking behavior experimental dataset
Description
Recruit a certain number of the elderly as research objects, simulate the behavior of picking up objects in kitchen cabinets, and use EEG and motion capture technology to conduct in-depth research on the elderly's picking behavior. EEG acquisition equipment is used to collect the EEG signals of the elderly to calculate the mental load of the elderly's picking behavior. Motion capture equipment is used to collect the posture of the elderly when they complete picking up items from the cabinet and the cabinet, and the joint angles of different parts of the body of the elderly when taking items of different heights are obtained. Combining EEG and behavioral data, the difficulty of taking objects in the behavior of different genders of men and women is objectively evaluated, and the range of taking objects suitable for the elderly is obtained. The EEG signal acquisition device used in this experiment is the Bitbrain EEG wearable hydroelectric electroencephalograph, and the sampling frequency is 256 Hz. The motion capture device is the Xsens inertial capture device, and the frequency is 1,000 Hz. The collected EEG data is analyzed by the ErgoLAB human-machine environment test cloud platform system. A total of 21 elderly subjects aged 60 to 71 were recruited in this experiment, including 12 female subjects and 9 male subjects. All subjects were in good physical condition and had more than 5 years of cooking experience. However, due to technical problems caused by the experimental equipment, some data could not be used, so this experiment only analyzed the experimental data of 8 female and 6 male subjects.