RevalidationInfo#

class mobgap.utils.tables.RevalidationInfo(threshold: float | None, higher_is_better: bool | None)[source]#

Information required to determine the validity of a results in the context of the revalidation.

Parameters:
threshold

Quality threshold of a specific error metric.

higher_is_better

Whether a higher value is better for the error metric.

Methods

count(value, /)

Return number of occurrences of value.

index(value[, start, stop])

Return first index of value.

__init__(*args, **kwargs)#
count(value, /)#

Return number of occurrences of value.

higher_is_better: bool | None#

Alias for field number 1

index(value, start=0, stop=sys.maxsize, /)#

Return first index of value.

Raises ValueError if the value is not present.

threshold: float | None#

Alias for field number 0

Examples using mobgap.utils.tables.RevalidationInfo#

Walking speed estimation

Walking speed estimation

Cadence estimation

Cadence estimation

Stride length estimation

Stride length estimation

Additional Full Pipeline Experiments

Additional Full Pipeline Experiments

Performance of the gait sequences algorithm on the TVS dataset

Performance of the gait sequences algorithm on the TVS dataset

Performance of the initial contact algorithms on the TVS dataset

Performance of the initial contact algorithms on the TVS dataset

Performance of the laterality classification algorithms on the TVS dataset

Performance of the laterality classification algorithms on the TVS dataset

Performance of the cadence algorithms on the TVS dataset

Performance of the cadence algorithms on the TVS dataset

Performance of the stride length algorithms on the TVS dataset

Performance of the stride length algorithms on the TVS dataset