FPIRST: Fatigue Driving Recognition Method Based on Feature Parameter Images and a Residual Swin Transformer.

Fatigue driving is a serious threat to road safety, which is why accurately identifying fatigue driving behavior and warning drivers in time are of great significance in improving traffic safety. However, accurately recognizing fatigue driving is still challenging due to large intra-class variations in facial expression, continuity of behaviors, and illumination conditions. A fatigue driving recognition method based on feature parameter images and a residual Swin Transformer is proposed in this paper. First, the face region is detected through spatial pyramid pooling and a multi-scale feature output module. Then, a multi-scale facial landmark detector is used to locate 23 key points on the face. The aspect ratios of the eyes and mouth are calculated based on the coordinates of these key points, and a feature parameter matrix for fatigue driving recognition is obtained. Finally, the feature parameter matrix is converted into an image, and the residual Swin Transformer network is presented to recognize fatigue driving. Experimental results on the HNUFD dataset show that the proposed method achieves an accuracy of 96.512%, thus outperforming state-of-the-art methods.

Urinary tract infections and intermittent catheterization among patients with spinal cord injury in Chinese community.

We conducted a cross-sectional study using an online questionnaire to investigate the current status of urinary tract infections (UTIs) and the use of clean intermittent catheterization (CIC) in Chinese community-based SCI patients and to explore the risk factors for UTIs in patients using CIC. Our findings suggest that the prevalence of UTIS is higher in Chinese community-based SCI patients compared with patients in medically developed countries. In addition, we found that CIC had the lower incidence of UTIs than urinary indwelling catheter (UIC) and suprapubic catheter (SPC), and that SCI patients with CIC had low rates of use and poor compliance. Further analysis indicated that most of the risk factors for UTIs in CIC patients were associated with irregular use of CIC. Therefore, we call for not only the need to provide stronger caregiver support and financial assistance to improve CIC adherence in Chinese community SCI patients, but also the establishment of a database of Chinese SCI patients in order to enhance the management of bladder emptying methods and further standardize the CIC operation in such patients, thus reducing the risk of UTIs in Chinese community SCI patients.

Clutter Suppression Method for Off-Grid Effects Mitigation in Airborne Passive Radars with Contaminated Reference Signals.

For an airborne passive radar with contaminated reference signals, the clutter caused by multipath (MP) signals involved in the reference channel (MP clutter) corrupts the covariance estimation in space-time adaptive processing (STAP). In order to overcome the severe STAP performance degradation caused by impure reference signals and off-grid effects, a novel MP clutter suppression method based on local search is proposed for airborne passive radar. In the proposed method, the global dictionary is constructed based on the sparse measurement model of MP clutter, and the global atoms that are most relevant to the residual are selected. Then, the local dictionary is designed iteratively, and local searches are performed to match real MP clutter points. Finally, the off-grid effects are mitigated, and the MP clutter is suppressed from all matched atoms. A range of simulations is conducted in order to demonstrate the effectiveness of the proposed method.