In this paper we address the problem of energy optimal gait generation for biped robots Using a sim pli ed robot dynamics that ignores the e ects of cen tripetal forces we obtain unconstrained optimal tra jectories generated by piecewise constant inputs We study a complete gait cycle comprising single support double support and the transition phases The energy optimal gaits for di erent step le...

Abstract In this review article, we present more than a decade of our work on the development brain–computer interface (BCI) systems for restoration walking following neurological injuries such as spinal cord injury (SCI) or stroke. Most has been in domain non-invasive electroencephalogram-based BCIs, including interfacing system with virtual reality environment and physical prostheses. Real-ti...

Thanks to gait analysis, many examinations such as person identification, disease detection, and evaluation of neuromusculoskeletal system functions can be performed. In the study, used dataset includes three different parameters obtained from 16 individuals (7 females 9 males) using wearable analysis sensors, here there are 321 for one each person. addition, we classify this data Linear Discri...

This paper introduces a new approach for gait analysis based on the Gait Energy Image (GEI). The main idea is to segment the gait cycle into some biomechanical poses, and to compute a particular GEI for each pose. Pose-based GEIs can better represent body parts and dynamics descriptors with respect to the usually blurred depiction provided by a general GEI. Gait classification is carried out by...

The gait is a form of human and animal locomotion on land by using limbs. The study assessed functional recovery after end to side and side to side neurorrhaphy the ventral branches of the C5 and C6 spinal nerves to the C7 spinal nerve on the rabbit brachial plexus. Gait statistical analysis showed significant differences between the control group versus the end-to-side and side to side neurorr...

The recognition of a person from his (or her) gait is a relatively new and promising research direction in biometrics since it is noninvasive and human friendly. Gait recognition, however, has the weakness that it is not reliable compared with other biometrics. To increase reliability, we applied a neural network ensemble with probabilistic fusion to the gait recognition problem. To improve rec...

Currently, the internet of everything (IoE) enabled smart surveillance systems are widely used in various fields to prevent forms abnormal behaviors. The authors assess vulnerability based on human gait and suggest a defense strategy secure them. Human recognition is promising biometric technology, but one significantly hindered because universal adversarial perturbation (UAP) that may trigger ...