Evaluation of UE Exercises using NAO Robot for Poststroke Disabilities

Siddique, Tanjulee; Marzooqi, Rouda Al; Alleem, Hind Rashid; Fareh, Raouf; Baziyad, Mohammed; Elsabe, Ammar Yaser Hussein

doi:10.1109/aset53988.2022.9734987

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…The total number of rule definitions in this system added up to a total of 81. A comprehensive library of exercises retrieved from [51] was divided into three main levels: "Beginner", "Medium", and "Advanced", matching the output of the FIS as seen in Figure 5b. The corresponding movements can be seen in Figure 5a to obtain a clear idea of the motions.…”

Section: Rule Evaluation and Overall Setup For Shoulder Rom Fismentioning

confidence: 99%

Autonomous Exercise Generator for Upper Extremity Rehabilitation: A Fuzzy-Logic-Based Approach

et al. 2022

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In this paper, an autonomous exercise generation system based of fuzzy logic approach is presented. This work attempts to close a gap in the design of a completely autonomous robotic rehabilitation system that can recommend exercises to patients based on their data, such as shoulder range of motion (ROM) and muscle strength, from a pre-set library of exercises. The input parameters are fed into a system that uses Mamdani-style fuzzy logic rules to process them. In medical applications, the rationale behind decision making is a sophisticated process that involves a certain amount of uncertainty and ambiguity. In this instance, a fuzzy-logic-based system emerges as a viable option for dealing with the uncertainty. The system’s rules have been reviewed by a therapist to ensure that it adheres to the relevant healthcare standards. Moreover, the system has been tested with a series of test data and the results obtained ensures the proposed idea’s feasibility.

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Section: Rule Evaluation and Overall Setup For Shoulder Rom Fismentioning

confidence: 99%

Autonomous Exercise Generator for Upper Extremity Rehabilitation: A Fuzzy-Logic-Based Approach

et al. 2022

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Development of a Robot-Assisted Rehabilitation Program for Upper-Extremity Disabilities

Fareh

Siddique

Rashid

et al. 2022

2022 7th International Conference on Robotics and Automation Engineering (ICRAE)

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Improvement of the Sensor Capability of the NAO Robot by the Integration of a Laser Rangefinder

Bonaiuto

Zanela

2022

ASI

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This paper focuses on integrating a laser rangefinder system with an anthropomorphic robot (NAO6—Aldebaran, United Robotics Group) to improve its sensory and operational capabilities, as part of a larger project concerning the use of these systems in “assisted living” activities. This additional sensor enables the robot to reconstruct its surroundings by integrating new information with that identified by the on-board sensors. Thus, it can identify more objects in a scene and detect any obstacles along its navigation path. This feature will improve the efficiency of navigation algorithms, increasing movement competence in environments where people live and work. Indeed, these environments are characterized by details and specificities within a range of distances that best suit the new robot design. The paper presents a laser finder integration project that consists of two different parts, which are as follows: the former, the mechanical part, provided the NAO robot’s head; the latter, the software, provided the robot with proper software drivers to enable integration of the new sensor with its acquisition system. Some experimental results in an actual environment are presented.

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Evaluation of UE Exercises using NAO Robot for Poststroke Disabilities

Cited by 3 publications

References 14 publications

Autonomous Exercise Generator for Upper Extremity Rehabilitation: A Fuzzy-Logic-Based Approach

Autonomous Exercise Generator for Upper Extremity Rehabilitation: A Fuzzy-Logic-Based Approach

Development of a Robot-Assisted Rehabilitation Program for Upper-Extremity Disabilities

Improvement of the Sensor Capability of the NAO Robot by the Integration of a Laser Rangefinder

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