scholarly journals A Survey of Teleceptive Sensing for Wearable Assistive Robotic Devices

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5238 ◽  
Author(s):  
Nili E. Krausz ◽  
Levi J. Hargrove

Teleception is defined as sensing that occurs remotely, with no physical contact with the object being sensed. To emulate innate control systems of the human body, a control system for a semi- or fully autonomous assistive device not only requires feedforward models of desired movement, but also the environmental or contextual awareness that could be provided by teleception. Several recent publications present teleception modalities integrated into control systems and provide preliminary results, for example, for performing hand grasp prediction or endpoint control of an arm assistive device; and gait segmentation, forward prediction of desired locomotion mode, and activity-specific control of a prosthetic leg or exoskeleton. Collectively, several different approaches to incorporating teleception have been used, including sensor fusion, geometric segmentation, and machine learning. In this paper, we summarize the recent and ongoing published work in this promising new area of research.


Author(s):  
Jeffrey R Koller ◽  
Deanna H Gates ◽  
Daniel P Ferris ◽  
C David Remy


2002 ◽  
Vol 12 (1) ◽  
pp. 4-8 ◽  
Author(s):  
Arthur Prochazka

Since the time of Descartes the machine-like control of movement in animals and the animal-like control of movement in automata has fascinated and inspired scientists, engineers and philosophers alike. In 1966, Drs. Rajko Tomovic and Robert McGhee proposed the concept of a "cybernetic actuator," a new type of control system which "possesses the property of producing continuous controlled motion from an input which may assume only four distinct states". The specific application at the time was an artificial limb prosthesis. Signals from sensors monitoring joint angle and ground contact were to be continuously compared to a set of threshold values corresponding to specific moments in the step cycle. The binary signals (above or below threshold) were listed in a look-up chart which associated sensory combinations with actuator states. It was proposed that this system would provide all of the known state transitions required of an above knee prosthesis. In this and later papers Tomovic was careful to point out the differences between such "artificial reflex control" systems and neural control systems in animals. Nonetheless in the last few years it has become commonplace to see the control of locomotion and other rhythmical behaviors described in terms of "sensory rules," that is in terms of finite state systems. With the advent of neural nets and fuzzy logic control robotic devices are taking on more and more of the features of biological control systems. In turn, neurophysiologists borrow more and more from the concepts and mechanisms of modern control theory. The influence of Tomovic's simple but powerful idea continues to spread.



Author(s):  
Ouldzira Hicham ◽  
Ahmed Mouhsen ◽  
Hajar Lagraini ◽  
Abdelmoumen Tabyaoui ◽  
Mostafa Chhiba

Many research works are devoted to the design of remote control systems of objects. Remote monitoring is among the technologies of data acquisition on a remote object and its characteristics without physical contact with it. These data can be collected by acoustic waves, the distribution of forces and electromagnetic energy to process them to locate the object and its characteristics. This paper presents a smart monitoring information system based on RF 433MHz, Arduinonano and arduinouno named SMIS.



Author(s):  
Marvin H. Cheng ◽  
Po-Lin Huang ◽  
Hao-Chuan Chu ◽  
Li-Han Peng ◽  
Ezzat Bakhoum

In this paper, we propose to design, develop, and study a cyber-physical system that enables patients and therapists to virtually interact for rehabilitation activities with assistive robotic devices. The targeted users of this system are post-stroke patients. On the patient’s side, an assistive robotic device can generate the force that the therapist applies to the patient. On the therapist’s side, another robotic device can reproduce the responsive force generated by the patient. With this system, the interaction can be virtually established. In addition, by integrating real human trajectories, the proposed assistive robotic system can help patients to perform rehabilitation activities in their own pace. Such an assistive robotic system and virtual interacting scheme can minimize both patient’s and therapist’s traveling time. The assistive functions of this light weight design can also help patients to in their ADLs.





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