Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Claudia Latella"'
Autor:
Yeshasvi Tirupachuri, Prashanth Ramadoss, Lorenzo Rapetti, Claudia Latella, Kourosh Darvish, Silvio Traversaro, Daniele Pucci
Publikováno v:
IEEE Access, Vol 9, Pp 123260-123279 (2021)
Improving the quality of work for human beings is receiving a lot of attention from multiple research communities. In particular, digital transformation in human factors and ergonomics is going to empower the next generation of the socio-technical wo
Externí odkaz:
https://doaj.org/article/c6d93a5a813a461cb942e34774c627f4
Autor:
Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Stefano Dafarra, Gabriele Nava, Claudia Latella, Daniele Pucci
Publikováno v:
Algorithms, Vol 13, Iss 10, p 266 (2020)
This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented
Externí odkaz:
https://doaj.org/article/e08e25d4c1a447d99712c714eb622d1e
Autor:
Ines Sorrentino, Francisco Javier Andrade Chavez, Claudia Latella, Luca Fiorio, Silvio Traversaro, Lorenzo Rapetti, Yeshasvi Tirupachuri, Nuno Guedelha, Marco Maggiali, Simeone Dussoni, Giorgio Metta, Daniele Pucci
Publikováno v:
Sensors, Vol 20, Iss 3, p 747 (2020)
Wearable sensors are gaining in popularity because they enable outdoor experimental monitoring. This paper presents a cost-effective sensorised insole based on a mesh of tactile capacitive sensors. Each sensor’s spatial resolution is about 4 taxels
Externí odkaz:
https://doaj.org/article/ad0152e96cdd4d038463895f555ec77f
Autor:
Claudia Latella, Silvio Traversaro, Diego Ferigo, Yeshasvi Tirupachuri, Lorenzo Rapetti, Francisco Javier Andrade Chavez, Francesco Nori, Daniele Pucci
Publikováno v:
Sensors, Vol 19, Iss 12, p 2794 (2019)
The paper presents a stochastic methodology for the simultaneous floating-base estimation of the human whole-body kinematics and dynamics (i.e., joint torques, internal and external forces). The paper builds upon our former work where a fixed-base fo
Externí odkaz:
https://doaj.org/article/a36ebb3e31044b4b9d251a6299a71e68
Publikováno v:
Sensors, Vol 16, Iss 5, p 727 (2016)
Human motion tracking is a powerful tool used in a large range of applications that require human movement analysis. Although it is a well-established technique, its main limitation is the lack of estimation of real-time kinetics information such as
Externí odkaz:
https://doaj.org/article/c9dd143112fb4434ad25bb89e3ad73ed
Autor:
Claudia Latella, Yeshasvi Tirupachuri, Luca Tagliapietra, Lorenzo Rapetti, Benjamin Schirrmeister, Jonas Bornmann, Dasa Gorjan, Jernej Camernik, Pauline Maurice, Lars Fritzsche, Jose Gonzalez-Vargas, Serena Ivaldi, Jan Babic, Francesco Nori, Daniele Pucci
Publikováno v:
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Human-Machine Systems, IEEE, In press
IEEE Transactions on Human-Machine Systems, In press, ⟨10.1109/THMS.2021.3128892⟩
IEEE Transactions on Human-Machine Systems, IEEE, In press
IEEE Transactions on Human-Machine Systems, In press, ⟨10.1109/THMS.2021.3128892⟩
International audience; Overhead work is classified as one of the major risk factors for the onset of shoulder work-related musculoskeletal disorders (WMSDs) and muscle fatigue. Upper-limb exoskeletons can be used to assist workers during the executi
Autor:
Francisco Javier Andrade Chavez, Lorenzo Rapetti, Ines Sorrentino, Claudia Latella, Simeone Dussoni, Giorgio Metta, Silvio Traversaro, Yeshasvi Tirupachuri, Nuno Guedelha, Luca Fiorio, Marco Maggiali, Daniele Pucci
Publikováno v:
Sorrentino, I, Chavez, F J A, Latella, C, Fiorio, L, Traversaro, S, Rapetti, L, Tirupachuri, Y, Guedelha, N, Maggiali, M, Dussoni, S, Metta, G & Pucci, D 2020, ' A Novel Sensorised Insole for Sensing Feet Pressure Distributions ', Sensors, vol. 20, no. 3, 747 . https://doi.org/10.3390/s20030747
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3, p 747 (2020)
Sensors
Volume 20
Issue 3
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 3, p 747 (2020)
Sensors
Volume 20
Issue 3
Wearable sensors are gaining in popularity because they enable outdoor experimental monitoring. This paper presents a cost-effective sensorised insole based on a mesh of tactile capacitive sensors. Each sensor's spatial resolution is about 4 taxels/c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3de2d54f7aaf530f40d8fe764457f38
https://www.research.manchester.ac.uk/portal/en/publications/a-novel-sensorised-insole-for-sensing-feet-pressure-distributions(c9e6cbc1-c2f3-4c08-af82-174fc798bfad).html
https://www.research.manchester.ac.uk/portal/en/publications/a-novel-sensorised-insole-for-sensing-feet-pressure-distributions(c9e6cbc1-c2f3-4c08-af82-174fc798bfad).html
Autor:
Jonas Bornmann, Jan Babič, Benjamin Schirrmeister, Luca Tagliapietra, Serena Ivaldi, Dasa Gorjan, Pauline Maurice, Lars Fritzsche, Claudia Latella, Jernej Čamernik, Daniele Pucci
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Institute of Electrical and Electronics Engineers, 2020, 28 (1), pp.152-164. ⟨10.1109/TNSRE.2019.2945368⟩
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28 (1), pp.152-164. ⟨10.1109/TNSRE.2019.2945368⟩
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Institute of Electrical and Electronics Engineers, 2020, 28 (1), pp.152-164. ⟨10.1109/TNSRE.2019.2945368⟩
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28 (1), pp.152-164. ⟨10.1109/TNSRE.2019.2945368⟩
International audience; Overhead work is a frequent cause of shoulder work-related musculoskeletal disorders. Exoskeletons offering arm support have the potential to reduce shoulder strain, without requiring large scale reorganization of the workspac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91b3b50de908c54fda8ec1cb63700fab
https://hal.archives-ouvertes.fr/hal-02301922
https://hal.archives-ouvertes.fr/hal-02301922
Autor:
Claudia Latella, Daniele Pucci, Silvio Traversaro, Francesco Romano, Marta Lorenzini, Francesco Nori, Maria Lazzaroni, M. Ali Akhras
Publikováno v:
Autonomous Robots. 43:1591-1603
Physical human–robot interaction is receiving a growing attention from the scientific community. One of the main challenges is to understand the principles governing the mutual behaviour during collaborative interactions between humans. In this con
Autor:
Claudia Latella, Yeshasvi Tirupachuri, Lorenzo Rapetti, Diego Ferigo, Silvio Traversaro, Ines Sorrentino, Francisco Javier Andrade Chavez, Francesco Nori, Daniele Pucci
Physical interaction between humans and robots is more and more frequently required in the modern society. We introduce a novel framework endowing robots with the ability to perceive humans while collaborating at the same task. The framework embodies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b61a99149a699620e41068f639397c55