# Paper C headline config: cycle-segmented joint-angle DTW with
# per-sequence Procrustes alignment. This is the representative
# Paper C pipeline — bilateral gait cycles drive the segmentation
# so distances are reported per-stride per-side, and the angle-space
# representation makes the distance clinically interpretable
# (knee flexion angle, hip extension angle, etc.).
#
# Joint-triplet indices below target the berkeley_mhad_43 skeleton:
#   - (27, 31, 32): left hip → left knee → left ankle (left knee flex)
#   - (35, 39, 40): right hip → right knee → right ankle (right knee flex)
#   - (34, 27, 31): back hip ← left hip → left knee (left hip flex)
#   - (34, 35, 39): back hip ← right hip → right knee (right hip flex)
#
# See neuropose.analyzer.JOINT_NAMES for the full 43-joint table.
#
# Run:
#   neuropose analyze --config examples/analysis/paper_c_headline.yaml \
#       --output out/paper_c_report.json

config_version: 1

inputs:
  primary: data/subject_trial.json
  reference: data/mocap_reference.json

preprocessing:
  person_index: 0

segmentation:
  kind: gait_cycles_bilateral
  axis: y
  invert: false
  min_cycle_seconds: 0.4

analysis:
  kind: dtw
  method: dtw_all
  align: procrustes_per_sequence
  representation: angles
  angle_triplets:
    - [27, 31, 32]   # left knee flexion
    - [35, 39, 40]   # right knee flexion
    - [34, 27, 31]   # left hip flexion
    - [34, 35, 39]   # right hip flexion
  nan_policy: interpolate

output:
  report: out/paper_c_report.json