Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zhen Gang Xiao"'
Autor:
Zhen Gang Xiao, Carlo Menon
Publikováno v:
Sensors, Vol 19, Iss 20, p 4557 (2019)
Information about limb movements can be used for monitoring physical activities or for human-machine-interface applications. In recent years, a technique called Force Myography (FMG) has gained ever-increasing traction among researchers to extract su
Externí odkaz:
https://doaj.org/article/eba99a6656b4486090453d67ad9d558c
Autor:
Zhen Gang Xiao, Carlo Menon
Publikováno v:
Sensors, Vol 19, Iss 11, p 2432 (2019)
Force myography (FMG) is an emerging method to register muscle activity of a limb using force sensors for human−machine interface and movement monitoring applications. Despite its newly gained popularity among researchers, many of its fundamental c
Externí odkaz:
https://doaj.org/article/0ca67e8f8f6c4972967f0255810525c3
Autor:
Alireza Akhbardeh, Kouhyar Tavakolian, Zhen Gang Xiao, Bradley Hoffmann, Parshuram N. Aarotale, Farzad Khosrow-khavar, Rabie Fadil
Publikováno v:
CinC
This research focused on morphology changes due to sensor placement of the seismocardiogram (SCG). Data was recorded from seven male subjects, in supine position, accelerometers were placed in both vertical (V) and horizontal (HL) positions leading f
Publikováno v:
Virtual Reality. 22:297-308
Hand gesture recognition is important for interactions under VR environment. Traditional vision-based approaches encounter occlusion problems, and thus, wearable devices could be an effective supplement. This study presents a hand grasps recognition
Publikováno v:
Journal of Bionic Engineering. 14:692-705
Force Myography (FMG), which monitors pressure or radial deformation of a limb, has recently been proposed as a potential alternative for naturally controlling bionic robotic prostheses. This paper presents an exploratory case study aimed at evaluati
Autor:
Zhen Gang Xiao, Carlo Menon
Publikováno v:
Journal of Bionic Engineering. 14:284-295
The ability to track upper extremity movement during activity of daily living has the potential to facilitate the recovery of individuals with neurological or physical injuries. Hence, the use of Surface Electromyography (sEMG) signals to predict upp
Autor:
Carlo Menon, Zhen Gang Xiao
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 20, p 4557 (2019)
Sensors, Vol 19, Iss 20, p 4557 (2019)
Information about limb movements can be used for monitoring physical activities or for human-machine-interface applications. In recent years, a technique called Force Myography (FMG) has gained ever-increasing traction among researchers to extract su
Autor:
Zhen Gang Xiao, Carlo Menon
Publikováno v:
Journal of biomechanics. 83
Resistance strength training is a proven method to improve bone density and muscle strength. A solution capable of automatically detecting the resistance force level exerted by a user from a wrist-based device can offer great convenience to the train
Publikováno v:
Applied Mathematics and Computation. 218:1147-1152
In this paper, we give a weighted form of the Hermite–Hadamard inequalities. Some applications of them are also derived. The results presented here would provide extensions of those given in earlier works. Finally we pose two interesting problems.
Publikováno v:
Mathematical and Computer Modelling. 51:592-600
In this paper, we give a new refinement and extension of the well-known Jensen inequality for any mid-convex function f by arithmetic means of f evaluated at weighted arithmetic means of samples with repetitions. Our refinement provides the perfected