The phrase "assistive systems" is correct and usable in written English.
It can be used when referring to technologies or tools designed to aid individuals, particularly those with disabilities, in performing tasks or improving their quality of life.
Example: "The new assistive systems implemented in the classroom have greatly enhanced the learning experience for students with special needs."
Alternatives: "supportive technologies" or "aiding systems".
Partially observable Markov decision process (POMDP) models have been used successfully as the reasoning engine behind such assistive systems for small multi-step tasks such as hand washing.
Most smart home based monitoring / assistive systems that attempt to recognize activities within a smart home are targeted towards living-alone elderly, and stop at providing instantaneous coarse grained information such as room-occupancy or provide specific programmed reminders for taking medication etc.
Assistive systems for persons with cognitive disabilities (e.g., dementia) are difficult to build due to the wide range of different approaches people can take to accomplishing the same task, and the significant uncertainties that arise from both the unpredictability of client's behaviours and from noise in sensor readings.
Although much work has been done on home and building automation systems for AAL, often referred to as assistive domotics, there is in fact still a substantial lack of solutions capable to support system designers in the early stage of development of such assistive systems.
If this view is almost obvious for advanced technologies, such as brain computer interfaces, controlled assistive robots and intelligent prostheses, it is equally true even for simple automated systems, like context-aware assistive systems that are built with state-of-the-art technologies.
Beanland et al. [6] assessed the acceptance of different assistive systems targeted to PTW riders.
These results have various implications for the development of an assistive system.
In this paper, proxy-based impedance control is proposed as a rehabilitation algorithm of a cable-driven assistive system.
In order to transfer research results into a usable, daily assistive system, the control of FES must be improved.
In this paper, proxy-based impedance control is proposed as a possible rehabilitation algorithm of a cable-driven assistive system that is designed for rehabilitation exercise of the wrist.
The assistive system comprised the novel controller, the power and output stages of an eight-channel FES system (IEEE Trans Rehabil Eng, TRE-2 (1994) 234), ankle-foot orthoses, and a rolling walker.
