Publications

@inproceedings{10340722,

title = {Redundancy Resolution in Trimanual vs. Bimanual Tracking Tasks},

author = { Ana Sanmartín-Senent and Nuria Peña-Perez and Etienne Burdet and Jonathan Eden},

doi = {10.1109/EMBC40787.2023.10340722},

year  = {2023},

date = {2023-01-01},

booktitle = {2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)},

pages = {1-5},

keywords = {Biology, Foot, Redundancy, Task analysis, Tracking, Virtual reality},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10309628,

title = {A third eye to augment environment perception},

author = { Mark O Meara and Xiaoxiao Cheng and Jonathan Eden and Ekaterina Ivanova and Etienne Burdet},

doi = {10.1109/RO-MAN57019.2023.10309628},

year  = {2023},

date = {2023-01-01},

booktitle = {2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},

pages = {1239-1244},

keywords = {Atmospheric measurements, Cognitive load, Particle measurements, Real-time systems, Tracking, Virtual reality, Visualization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{pinardi_cartesian_2021b,

title = {Cartesian Space Feedback for Real Time Tracking of a Supernumerary Robotic Limb: a Pilot Study},

author = {Mattia Pinardi and Luigi Raiano and Alessia Noccaro and Domenico Formica and Giovanni {Di Pino}},

url = {https://ieeexplore.ieee.org/document/9441174},

doi = {10.1109/NER49283.2021.9441174},

year  = {2021},

date = {2021-05-01},

urldate = {2021-05-01},

booktitle = {2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)},

pages = {889–892},

abstract = {We present a system to provide the user with real time proprioceptive feedback regarding the state of a supernumerary robotic limb (SRL). The system converted the robot kinematics into a vibration amplitude-frequency value, using a custom electronic board. Four eccentric-motors placed on the leg delivered the vibrotactile pattern to subjects. We measured the accuracy in real-time tracking of the robot end-effector position and the delay from the robot movement onset. We tested four subjects in a preliminary study, and we found an average Position Error and a Delay of 0.084 ± 0.010 m and 1.169 ± 0.408 s respectively, which validated the feasibility of the presented setup. Increasing the learning phase duration should further improve subject performance. Additionally, the present platform could easily be employed to test the efficacy of different feedbacks (such as joint angles and torques) for real time tracking of SRL.},

note = {ISSN: 1948-3554},

keywords = {Legged locomotion, Neural engineering, Position measurement, Real-time systems, Robot kinematics, Tracking, Vibrations},

pubstate = {published},

tppubtype = {inproceedings}

}