Zobrazeno 1 - 10
of 347
pro vyhledávání: '"Merryweather, Andrew"'
3D posture estimation is important in analyzing and improving ergonomics in physical human-robot interaction and reducing the risk of musculoskeletal disorders. Vision-based posture estimation approaches are prone to sensor and model errors, as well
Externí odkaz:
http://arxiv.org/abs/2208.06494
Autor:
Luttmer, Nathaniel G., Truong, Takara E., Boynton, Alicia M., Merryweather, Andrew S., Carrier, David R., Minor, Mark A.
Wearable robotic devices have potential to assist and protect their users. Toward design of a Smart Helmet, this article examines the effectiveness of audio and visual warnings to help participants brace for impacts. A user study examines different w
Externí odkaz:
http://arxiv.org/abs/2207.13835
Ergonomics and human comfort are essential concerns in physical human-robot interaction applications. Defining an accurate and easy-to-use ergonomic assessment model stands as an important step in providing feedback for postural correction to improve
Externí odkaz:
http://arxiv.org/abs/2205.03491
Ergonomics and human comfort are essential concerns in physical human-robot interaction. Common practical methods in the area either fail in estimating the correct posture due to occlusion or suffer from inaccurate ergonomics models in performing pos
Externí odkaz:
http://arxiv.org/abs/2108.05971
Ergonomics and human comfort are essential concerns in physical human-robot interaction applications. Defining an accurate and easy-to-use ergonomic assessment model stands as an important step in providing feedback for postural correction to improve
Externí odkaz:
http://arxiv.org/abs/2107.06875
Autor:
Chaeibakhsh, Sarvenaz, Novin, Roya Sabbagh, Hermans, Tucker, Merryweather, Andrew, Kuntz, Alan
Despite years of research into patient falls in hospital rooms, falls and related injuries remain a serious concern to patient safety. In this work, we formulate a gradient-free constrained optimization problem to generate and reconfigure the hospita
Externí odkaz:
http://arxiv.org/abs/2101.03210
Planning under uncertainty is a crucial capability for autonomous systems to operate reliably in uncertain and dynamic environments. The concern of safety becomes even more critical in healthcare settings where robots interact with human patients. In
Externí odkaz:
http://arxiv.org/abs/2010.08124
Objectives: The aims of this study are to identify factors in physical environments that contribute to patient falls in hospitals and to propose a computational model to evaluate patient room designs. Background: The existing fall risk assessment too
Externí odkaz:
http://arxiv.org/abs/2008.09169
Ergonomic assessment of human posture plays a vital role in understanding work-related safety and health. Current posture estimation approaches face occlusion challenges in teleoperation and physical human-robot interaction. We investigate if the lea
Externí odkaz:
http://arxiv.org/abs/2002.10586
A particular type of assistive robots designed for physical interaction with objects could play an important role assisting with mobility and fall prevention in healthcare facilities. Autonomous mobile manipulation presents a hurdle prior to safely u
Externí odkaz:
http://arxiv.org/abs/1912.09565