Ben Sawaryn
Papers
1
Total Citations
18
H-Index
1
About
Ben Sawaryn is a researcher at the intersection of rehabilitation engineering and wearable robotics, with a primary focus on restoring upper limb function in stroke survivors. His most-cited work, "Detection of the Intention to Grasp During Reaching in Stroke Using Inertial Sensing" (2019, 18 citations), addresses a critical bottleneck in assistive technology: enabling seamless, intuitive control of soft-robotic gloves. By leveraging inertial sensors to detect the intention to grasp *during* the reaching motion—rather than after contact—Sawaryn’s approach minimizes actuation delays, a key barrier to real-world adoption. This work directly supports the development of wearable devices that can anticipate user intent, allowing stroke patients to perform daily activities with greater fluidity and independence. His contributions bridge sensorimotor neuroscience and practical engineering, offering a pathway to more responsive, user-centered rehabilitation tools. Through this research, Sawaryn is helping to move soft robotics from the lab into the hands of those who need it most, advancing the goal of restoring meaningful hand function after neurological injury.
Research Focus
Key Achievements
Top Papers
- 1