Zhiquan Feng

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About

Zhiquan Feng is an emerging researcher specializing in intelligent healthcare systems, human-computer interaction, and assistive robotics, with a particular focus on developing technological solutions for aging populations. Feng's work addresses one of modern society's most pressing challenges: providing adequate care and safety monitoring for the elderly in home-based environments. Their research integrates cutting-edge multimodal sensing and machine learning approaches to create practical, user-centered healthcare technologies. Among Feng's notable contributions is a Multimodal Massage Localization Algorithm for Human Acupoints, which advances the development of intelligent massage healthcare robots capable of understanding and responding to user preferences — a significant step toward accessible home-based elder care. Complementing this, Feng's Multimodal Cross-Attention Mechanism-Based Algorithm for Elderly Behavior Monitoring and Recognition tackles the unique complexities of detecting and interpreting elderly-specific behaviors, enhancing the reliability of safety monitoring systems. Both works, published in 2024 and 2025 respectively, have each garnered 5 citations, reflecting swift recognition within the research community. Feng's contributions represent promising early-career research at the intersection of artificial intelligence and geriatric care technology.