Name
Abstract | ||
|---|---|---|
This paper presents bag-of-steps, a new methodology to predict the rehabilitation length of a patient by monitoring the weight he is bearing in his injured leg and using a predictive model based on the bag-of-words technique. A force sensor is used to monitor and characterize the patientu0027s gait, obtaining a set of step descriptors. These are later used to define a vocabulary of steps that can be used to describe rehabilitation sessions. Sessions are finally fed to a support vector machine classifier that performs the final rehabilitation estimation. |
Year | Venue | Field |
|---|---|---|
2016 | ESANN | Force sensor,Information system,Rehabilitation,Gait,Pattern recognition,Support vector machine classifier,Computer science,Lower limb,Bearing (mechanical),Artificial intelligence,Vocabulary,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Pla | 1 | 73 | 10.08 |
| Beatriz López | 2 | 7 | 4.06 |
| Cristofor Nogueira | 3 | 0 | 0.34 |
| Natalia Mordvaniuk | 4 | 0 | 1.01 |
| Taco J. Blokhuis | 5 | 2 | 0.81 |
| Herman R. Holtslag | 6 | 0 | 0.68 |