The prevalence of stroke continues to increase with the global aging. Based on the motor imagery (MI) brain–computer interface (BCI) paradigm and virtual reality (VR) technology, we designed and developed an upper-limb rehabilitation exoskeleton system (VR-ULE) in the VR scenes for stroke patients. The VR-ULE system makes use of the MI electroencephalogram (EEG) recognition model with a convolutional neural network and squeeze-and-excitation (SE) blocks to obtain the patient’s motion intentions and control the exoskeleton to move during rehabilitation training movement. Due to the individual differences in EEG, the frequency bands with optimal MI EEG features for each patient are different. Therefore, the weight of different feature channels is learned by combining SE blocks to emphasize the useful information frequency band features. The MI cues in the VR-based virtual scenes can improve the interhemispheric balance and the neuroplasticity of patients. It also makes up for the disadvantages of the current MI-BCIs, such as single usage scenarios, poor individual adaptability, and many interfering factors. We designed the offline training experiment to evaluate the feasibility of the EEG recognition strategy, and designed the online control experiment to verify the effectiveness of the VR-ULE system. The results showed that the MI classification method with MI cues in the VR scenes improved the accuracy of MI classification (86.49%±3.02%); all subjects performed two types of rehabilitation training tasks under their own models trained in the offline training experiment, with the highest average completion rates of 86.82%±4.66% and 88.48%±5.84%. The VR-ULE system can efficiently help stroke patients with hemiplegia complete upper-limb rehabilitation training tasks, and provide the new methods and strategies for BCI-based rehabilitation devices.

Design heuristics (DHS) as a tool can help boost designers’ creativity in early conceptual design phases. We have developed a set of DHS for digital innovation (DHS10). There are numerous studies on DHS impacts/outcomes in the recent years. However, little research has been conducted to identify whether DHS has lasting benefits on designers’ ideation performance. This paper explores whether DHS10 can help designers achieve more creative ideas based on different design briefs, and if DHS has lasting impacts on or benefits for students. An empirical study was conducted with two groups (i.e., 32 students who learned DHS10 five weeks ago, and 24 students who studied DHS10 instantly). They were asked to address an open-ended design brief on COVID-19 and generate as many innovative ideas as possible. The results suggest DHS has impacts on students who learned DHS just now and five weeks ago. The effect is stronger on those who just learned DHS10. We suggest that DHS10 be provided for ideation as it provides texts and visual stimuli for designers. DHS10 also has the potential to help students understand digital innovation and generate ideas accordingly.