Multi-Exoskeleton Performance Evaluation: Integrated Muscle Energy Indices to Determine the Quality and Quantity of Assistance
Vasco Fanti, Sergio Leggieri, Tommaso Poliero, Matteo Sposito, Darwin G Caldwell, Christian Di Natali, Huang Chun-Yuh · 2024
Read Multi-Exoskeleton Performance Evaluation: Integrated Muscle Energy Indices to Determine the Quality and Quantity of Assistance by Vasco Fanti, Sergio Leggieri, Tommaso Poliero, Matteo Sposito, Darwin G Caldwell, Christian Di Natali, Huang Chun-Yuh (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11673727.txt.
Description
Vasco Fanti and co-authors proposed a new way to grade how well exoskeletons help workers in 2024. Judging help on real tasks grows hard as tasks get complex. Most past work cut muscle signals down to one average or peak value, which loses the shape of effort over time.
Their method uses the full integrated muscle signal, which keeps task timing and duration in view. It shows the phases where a device eases effort and where it adds load. Three indices sum up the exchange: one for assistance, one for resistance, and one for the overall interaction. The tool aims to give builders and control designers a clearer read on device quality and on the human-robot fit.
Catalog record
| CREATOR | Vasco Fanti, Sergio Leggieri, Tommaso Poliero, Matteo Sposito, Darwin G Caldwell, Christian Di Natali, Huang Chun-Yuh |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |