This dataset is for the performance verification of sEMG-based intention recognition algorithm with upper-limb position effect.

DOI Link: 
10.21227/bg50-bz64
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[1] Sejin Kim, Wan Kyun Chung, "sEMG dataset with respect to upper-limb positions", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/bg50-bz64. Accessed: Apr. 25, 2025.
@data{bg50-bz64-22,
doi = {10.21227/bg50-bz64},
url = {http://dx.doi.org/10.21227/bg50-bz64},
author = {Sejin Kim; Wan Kyun Chung },
publisher = {IEEE Dataport},
title = {sEMG dataset with respect to upper-limb positions},
year = {2022} }
TY - DATA
T1 - sEMG dataset with respect to upper-limb positions
AU - Sejin Kim; Wan Kyun Chung
PY - 2022
PB - IEEE Dataport
UR - 10.21227/bg50-bz64
ER -
Sejin Kim, Wan Kyun Chung. (2022). sEMG dataset with respect to upper-limb positions. IEEE Dataport. http://dx.doi.org/10.21227/bg50-bz64
Sejin Kim, Wan Kyun Chung, 2022. sEMG dataset with respect to upper-limb positions. Available at: http://dx.doi.org/10.21227/bg50-bz64.
Sejin Kim, Wan Kyun Chung. (2022). "sEMG dataset with respect to upper-limb positions." Web.
1. Sejin Kim, Wan Kyun Chung. sEMG dataset with respect to upper-limb positions [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/bg50-bz64
Sejin Kim, Wan Kyun Chung. "sEMG dataset with respect to upper-limb positions." doi: 10.21227/bg50-bz64