Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb
amputations. While the design of lower-limb prostheses is important, this paper focuses on …

After decades of evolution, measuring instruments for quantitative gait analysis have
become an important clinical tool for assessing pathologies manifested by gait …

Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …

Inertial sensors are included in most of the current smart devices and many researchers
have identified their ability to be used for analyzing different parameters of human behavior …

The accurate classification of ambulation modes and estimation of walking parameters is a
challenging problem that is key to many applications. Knowledge of the user's state can …

We describe and evaluate two methods for device pose classification and walking speed
estimation that generalize well to new users, compared to previous work. These machine …

Gait speed is a powerful clinical marker for mobility impairment in patients suffering from
neurological disorders. However, assessment of gait speed in coordination with delivery of …

Abstract Machine learning algorithms play a vital role in the prediction of an outbreak of
diseases based on climate change. Dengue outbreak is caused by improper maintenance of …

In this paper, we describe an application of hidden Markov models (HMMs) to the problem of
time-locating specific events in normal gait movement patterns. The use of HMMs in this …

The challenges of the inertial navigation system based pedestrian dead reckoning (PDR)
are mainly stochastic errors and serious accumulated errors caused by sensor variance …