Freezing of gait (FOG) often occurs during the course of Parkinson’s disease (PD), generating substantial disability (Giladi et al., 2001). Auditory, visual or tactile stimuli have been shown to improve FOG in PD and cueing-assisted modifications of gait have been proposed (Thaut et al., 1996) including a closed-loop augmentedreality device we reported for use in patients with “off”-related FOG...

Analysing human gait has found considerable interest in recent computer vision research. So far, however, contributions to this topic exclusively dealt with the tasks of person identification or activity recognition. In this paper, we consider a different application for gait analysis and examine its use as a means of deducing the physical well-being of people. Understanding the detection of un...

Gait phase detection is of great significance in the field motion analysis and exoskeleton-assisted walking, can realize accurate control exoskeleton robots. Therefore, order to obtain gait information ensure good accuracy, a recognition framework based on New Hidden Markov Model (NHMM) proposed improve accuracy detection. A multi-sensor data acquisition system was developed used collect traini...

Freezing of gait (FOG) is a common complication in movement disorders, typically associated with the advanced stages of Parkinson's disease. Auditory cues might be used to facilitate unfreezing of gait and prevent fall related injuries. We present a wearable, unobtrusive system for real-time gait monitoring, which consists of an inertial wearable sensor and wireless headset for the delivery of ...

Dynamic models, such as double pendulums, can generate similar dynamics human limbs. They are versatile tools for simulating and analyzing the walking cycle performance under various conditions. include multiple links, hinges, masses that represent physical parameters of a limb or an assistive device. This study develops mathematical model dissimilar pendulums mimics with unilateral gait impair...

Gait analysis is the study of human locomotion and is able to provide useful information in various areas such as health care, therapy, sports training, and characteristic recognition. This paper presents a smartphone based system to collect and calculate gait parameters. These parameters consisted of step length, velocity, cadence, motion intensity, and walking regularity are calculated from t...

The extraction and analysis of human gait characteristics using image sequences are currently an intense area of research. Identifying individuals using biometric methods has recently gained growing interest from computer vision researchers for security purposes at places like airport, banks etc. Gait recognition aims essentially to address this problem by identifying people at a distance based...

In the last years, gait phase partitioning has come to be a challenging research topic due to its impact on several applications related to gait technologies. A variety of sensors can be used to feed algorithms for gait phase partitioning, mainly classifiable as wearable or non-wearable. Among wearable sensors, footswitches or foot pressure insoles are generally considered as the gold standard;...

The pedunculopontine tegmental nucleus (PPTg) has been proposed as a target for deep brain stimulation (DBS) in parkinsonian patients, particularly for symptoms such as gait and postural difficulties refractory to dopaminergic treatments. Several patients have had electrodes implanted aimed at the PPTg, but outcomes have been disappointing, with little evidence that gait and posture are improve...