Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jonathan Feng-Shun Lin"'
Publikováno v:
2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
Publikováno v:
2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).
Publikováno v:
Annual Reviews in Control. 51:111-129
Researchers in biomechanics, neuroscience, human–machine interaction and other fields are interested in inferring human intentions and objectives from observed actions. The problem of inferring objectives from observations has received extensive th
Autor:
Jonathan Feng-Shun Lin, Wenbi Wang
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63:521-525
This paper describes a software program that was developed to assist the layout design of collaborative workplaces such as a military command centre. The program assesses layout quality based on its support to operator collaboration and searches for
Inverse optimal control with time-varying objectives: application to human jumping movement analysis
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Analysis of complex human movements can provide valuable insights for movement rehabilitation, sports training, humanoid robot design and control, and human–robot interaction. To accomplish complex movement, the central nervous system must coordina
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030339494
ISER
ISER
Marker-based based motion capture is the prevalent technique for estimating human motion. A common problem with the approach is the occlusion and mis-labeling of the markers; typically the data requires tedious manual cleaning in post processing. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::860238dbb35295cece64ada639d6416f
https://doi.org/10.1007/978-3-030-33950-0_65
https://doi.org/10.1007/978-3-030-33950-0_65
Publikováno v:
Humanoids
Inertial measurement unit sensors are commonly used for human pose estimation. However, a systematic and robust method to incorporate position and orientation constraints in the kinematic structure during environmental contact is lacking. In this pap
Publikováno v:
Humanoids
For robots that collaborate alongside and work with humans, there is great interest in improving robot communication abilities to achieve engaging and successful interactions. Successful task collaborations between humans often involve functional mot
Publikováno v:
IEEE Transactions on Human-Machine Systems. 46:325-339
Movement primitive segmentation enables long sequences of human movement observation data to be segmented into smaller components, termed movement primitives , to facilitate movement identification, modeling, and learning. It has been applied to exer
Publikováno v:
IROS
Inertial measurement units (IMUs) enable human motion measurement in any environment, which can be useful for human robot interaction, exoskeletons, and active prosthetics. This paper proposes an approach for estimating the orientation between a wear