FullPipelinePerGsResult#

class mobgap.pipeline.FullPipelinePerGsResult( ic_list: DataFrame, turn_list: DataFrame, cadence_per_sec: DataFrame, stride_length_per_sec: DataFrame, walking_speed_per_sec: DataFrame, )[source]#

Default expected result type for the gait-sequence iterator.

When using the GsIterator with the default configuration, an instance of this dataclass will be created for each gait-sequence.

Each value is expected to be a dataframe.

Attributes:

ic_list: The initial contacts for each gait-sequence. This is a dataframe with a column called ic. The values of this ic-column are expected to be samples relative to the start of the gait-sequence.
turn_list: The turn list for each gait-sequence. The dataframe has at least columns called start and end. The values of these columns are expected to be samples relative to the start of the gait-sequence.
cadence_per_sec: The cadence values within each gait-sequence. This dataframe has no further requirements relevant for the iterator.
stride_length_per_sec: The stride length values within each gait-sequence. This dataframe has no further requirements relevant for the iterator.
walking_speed_per_sec: The gait speed values within each gait-sequence. This dataframe has no further requirements relevant for the iterator.

__init__( ic_list: DataFrame, turn_list: DataFrame, cadence_per_sec: DataFrame, stride_length_per_sec: DataFrame, walking_speed_per_sec: DataFrame, ) → None[source]#