def METHOD_NAME(data):
    data = torch.from_numpy(data)
    N, V, C, T, M = data.size()
    data = data.permute(0, 2, 3, 1, 4).contiguous().view(N, C, T, V, M)
    # remove the first 17 points
    data = data[:, :, :, 17:, :]
    N, C, T, V, M = data.size()
    # normalization
    for n in range(N):
        for t in range(T):
            for v in range(V):
                data[n, :, t, v, :] = data[n, :, t, v, :] - data[n, :, t, 16, :]
    return data.numpy()