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    "slug": "why-personalization-matters-cross-subject-challenges-in-emg-imu-based",
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  "readme": "u = u_seek + u_exp(t) , with u_exp(t) = A e^{-lambda(t - t0)} [cos(omega t), sin(omega t)]^T a decaying circular excitation whose epoch t0 resets whenever the stored window's trajectory spread S_v (computed from the known measurement poses) falls below the threshold S_bar (Algorithm 1 in the paper). While the window is underexcited, the nominal seeking velocity -k(q - p_hat) is projected onto the ",
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