Sara Wong

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About

Sara Wong is a leading researcher in biomedical engineering, specializing in the intersection of human motion intent detection and assistive robotics. Her primary research focuses on electromyographic (EMG) signal processing and pattern recognition to decode lower limb movement intentions. Her seminal 2018 work, "Lower limbs motion intention detection by using pattern recognition," which has garnered 4 citations, established foundational methods for translating neural and muscular signals into commands for wearable robotic exoskeletons. This contribution is critical for developing intuitive human-robot interfaces that enable seamless control of assistive devices, directly impacting rehabilitation and mobility aid technologies. By advancing the accuracy of intention detection, Wong’s research bridges the gap between biological signals and machine actuation, offering transformative potential for individuals with motor impairments. Her work exemplifies a commitment to creating responsive, user-centered prosthetics and exoskeletons, positioning her as a key innovator in the field of human-machine interaction and assistive technology.