Calibrated gait recognition algorithm
Calibrated gait recognition algorithm has been studied in 1 paper since 2025: 1 observational study in people; 1 in the past year. The newest paper, Nov 10, 2025: “Designing a Gait Recognition Algorithm for Older Adults Using Mobility Aids: Prospective Cohort Study”.
1 paper studies it1 findingUpdated
“Sensitivity increased from 0.11 to 0.73; F1-score increased from 0.15 to 0.73; and specificity decreased from 0.99 to 0.75.”
- 1 lab in 1 country
- Humans1
What did studies of Calibrated gait recognition algorithm find?
1Studies of Calibrated gait recognition algorithm measured 1 outcome; the most studied are Gait recognition accuracy (1 study).
Gait recognition accuracy
upin humans1
1 study
Gait recognition accuracy
upin humans1
Calibrated gait recognition algorithm improves gait recognition accuracy in humans (0.73 F1-score (from 0.15)).
“Sensitivity increased from 0.11 to 0.73; F1-score increased from 0.15 to 0.73; and specificity decreased from 0.99 to 0.75.”
Humansn = 17
JMIR formative research
Latest
1 paper in 12 monthsJMIR Formative Research
Designing a Gait Recognition Algorithm for Older Adults Using Mobility Aids: Prospective Cohort Study
Cohort study of 17 peopleBiomarkers