With the growing influence of sustainable development in recent years, there has been an increasing focus on green consumption. Little previous research has highlighted the important influential role that social media information sharing plays in overall green consumption. This study aims to explore how social media information sharing influences green purchasing intentions of Generation Z. We constructed a theoretical framework for Generation Z’s green purchase intention based on SOR theory and elucidated the relationship between social media information sharing, perceived green value, subjective norms, and green purchase intention. This study discusses the dual mediating role of perceived green value and subjective norms and explores the moderating role of consumer occupation. Through a self-administered questionnaire survey of 274 members of Generation Z in China, we found that (1) social media information sharing has a positive effect on green purchase intention; (2) perceived green value and subjective norms are considered to play a partially mediating role in consumers’ green purchase intention relationship; (3) occupation mediates the moderating role of subjective norms in social media information sharing and green purchase intention, such that the mediating role of subjective norms is stronger for non-student consumers and insignificant for student consumers. Our findings not only enrich the empirical research on Generation Z’s green consumption, but may also help practitioners develop strategies to influence the intention and behavior of Generation Z consumers toward green products.

The development of the Internet has led to new forms of integration of gamification and environmental protection and has become a new perspective for exploring the emergence of green consumer behavior. In particular, gamification participation motivation has a growing influence on consumers’ green consumption behavior, and the magnitude of gamification participation motivation is transmitted to consumers’ green consumption behavior through their continuity of use. We choose Ant Forest as the research scenario of the integration of green consumption and gamification in China and try to explore the mechanism of the interaction between gamification participation motivation, continuity of use, and green consumption behavior from the perspective of green consumption. This paper tests the hypotheses through empirical research methods and structural equation modeling. The findings show that enjoyment motivation, social motivation, and achievement motivation positively influence consumers’ continuity of use; continuity of use positively influences consumers’ green consumption behavior; and the sense of environmental indebtedness plays a moderating role in the relationship between continuity of use and green consumption behavior.

In order to solve the problem of multi person pose estimation, a human body pose estimation model framework based on openpose from American Carnegie Mellon University is presented, which uses the COCO (Microsoft common objects in context) data set to augment the data, optimize the network structure and retrain, adjust the learning rate properly and the convergence speed in the early stage of the model, finally using the model to carry out research on human key point detection and visualizing analysis in a multi-person complex scene. It is found that the improved openpose model adopts a bottom to up detection strategy to avoid the influence of the number of human bodies on real-time performance, and has higher key point detection efficiency than the top to down method. The study provides a real-time position feedback scheme for human pose estimation in complex scenes.

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The time-domain wideband beamforming algorithm can output continuous waveforms in the time domain, which can improve the processing performance of array system. The time-domain wideband beamforming algorithm of the Frost structure needs to compensation the phase of the incident signal to the same angle through pre-delay. This paper proposes a robust Frost time-domain wideband beamforming method based on phase compensation, which integrates the pre-delay into the coefficient solution of the filter, suppresses the interference by adjusting the mainlobe, and constraining the width of the main lobe to increases the robustness of the beamformer, its effectiveness is proved by simulation experiments.