A new parameterization technique for the systematic characterization of human walking gait in diverse external conditions is proposed in this work. By parameterization we mean a quantitative expression of certain gait descriptors as the function of an external parameter, such as the ground slope. The mathematical quantifies derived from the geometric features of the hip-knee cyclograms are the ...

We consider passive dynamic walking machines of the kind originally studied by McGeer. For passive walking on arbitrarily small slopes, we show that any existing gaits must be correspondingly slow. The argument is rst presented for nonsingular mass distributions, where it is shown that small slopes preclude long steps and that small steps imply low speeds. The argument is then extended to singu...

This study investigated electrocortical dynamics of human walking across different unconstrained walking conditions (i.e., level ground (LW), ramp ascent (RA), and stair ascent (SA)). Non-invasive active-electrode scalp electroencephalography (EEG) signals were recorded and a systematic EEG processing method was implemented to reduce artifacts. Source localization combined with independent comp...

This paper presents the simplest walking model with an upper body. The model is a passive dynamic walker, i.e. it walks down a slope without motor input or control. The upper body is confined to the midway angle of the two legs. With this kinematic constraint, the model has only two degrees of freedom. The model achieves surprisingly successful walking results: it can handle disturbances of 8% ...

S3 MIT learning biped. This movie begins with the powered robot imitating passive walking down a 0.9 degree slope, from three camera angles. Then it shows the robot learning to walk on flat terrain with foam protective pads. The controller kicks the robot into random initial conditions between learning trials. After a few minutes, the robot is walking well in place, so we command it to walk in ...

The addition of multimodal feedback during navigation in a virtual environment is fundamental when aiming at fully immersive and realistic simulations. Several visual, acoustic, haptic or vibrotactile perceptual cues can be generated when walking over a ground surface. Such sensory feedback can provide crucial and varied information regarding either the ground material itself, the properties of...

A widely held assumption is that metabolic rate (Ė(met)) during legged locomotion is linked to the mechanics of different gaits and this linkage helps explain the preferred speeds of animals in nature. However, despite several prominent exceptions, Ė(met) of walking and running vertebrates has been nearly uniformly characterized as increasing linearly with speed across all gaits. This descripti...

1 Discrete pedestrian simulation models are viable alternatives to particle based approaches based 2 on a continuous spatial representation. The effects of discretisation, however, also imply some dif3 ficulties in modelling certain phenomena that can be observed in reality. This paper focuses on the 4 possibility to manage heterogeneity in the walking speed of the simulated population of pedes...

© 2009 Dong Won Kim et al. 565 This paper concerns the use of support vector regression (SVR), which is based on the kernel method for learning from examples, in identification of walking robots. To handle complex dynamics in humanoid robot and realize stable walking, this paper develops and implements two types of reference natural motions for a humanoid, namely, walking trajectories on a flat...