Kengo Fujii

About

Kengo Fujii is a leading researcher in the field of wearable robotic rehabilitation, with a primary focus on the clinical applications of the Hybrid Assistive Limb (HAL). His work centers on two key areas: reducing lumbar load during physically demanding tasks and improving motor function in patients with neurological impairments. Fujii’s major contributions include demonstrating that the HAL for Care Support can significantly lower lumbar stress during repetitive movements like snow-shoveling and lifting, with his foundational papers on these topics accumulating 56 and 52 citations, respectively. He has also pioneered the use of the voluntary-driven HAL exoskeleton for postoperative rehabilitation in patients with thoracic and cervical ossification of the posterior longitudinal ligament, showing notable gains in walking ability and functional recovery. His case reports, cited 33 and 29 times, provide critical evidence for HAL’s efficacy in treating chronic myelopathy. By bridging engineering and clinical practice, Fujii has helped validate wearable robotics as a transformative tool for both occupational safety and neurorehabilitation.

Research Focus

Key Achievements

Top Papers

1. 1
   The hybrid assisted limb (HAL) for Care Support, a motion assisting robot providing exoskeletal lumbar support, can potentially reduce lumbar load in repetitive snow-shoveling movements

   56 citations · 2017
2. 2
   The hybrid assistive limb (HAL) for Care Support successfully reduced lumbar load in repetitive lifting movements

   52 citations · 2018
3. 3
   The voluntary driven exoskeleton Hybrid Assistive Limb (HAL) for postoperative training of thoracic ossification of the posterior longitudinal ligament: a case report

   33 citations · 2016
4. 4
   Walking ability following hybrid assistive limb treatment for a patient with chronic myelopathy after surgery for cervical ossification of the posterior longitudinal ligament

   29 citations · 2017

Key Collaborators

Contact & Links