Implementation of an SSVEP-based intelligent home service robot system

2020 ◽  
pp. 1-16
Author(s):  
Yuxin Zhang ◽  
Qiang Gao ◽  
Yu Song ◽  
Zhe Wang
Keyword(s):  
Brain Activity ◽  
Neuromuscular Disorders ◽  
Motor Impairment ◽  
Service Robot ◽  
Task Completion ◽  
Home Service Robot ◽  
Home Service ◽  
Severe Motor ◽  
Severe Motor Impairment ◽  
The Subject

BACKGROUND: People with severe neuromuscular disorders caused by an accident or congenital disease cannot normally interact with the physical environment. The intelligent robot technology offers the possibility to solve this problem. However, the robot can hardly carry out the task without understanding the subject’s intention as it relays on speech or gestures. Brain-computer interface (BCI), a communication system that operates external devices by directly converting brain activity into digital signals, provides a solution for this. OBJECTIVE: In this study, a noninvasive BCI-based humanoid robotic system was designed and implemented for home service. METHODS: A humanoid robot that is equipped with multi-sensors navigates to the object placement area under the guidance of a specific symbol “Naomark”, which has a unique ID, and then sends the information of the scanned object back to the user interface. Based on this information, the subject gives commands to the robot to grab the wanted object and give it to the subject. To identify the subject’s intention, the channel projection-based canonical correlation analysis (CP-CCA) method was utilized for the steady state visual evoked potential-based BCI system. RESULTS: The offline results showed that the average classification accuracy of all subjects reached 90%, and the online task completion rate was over 95%. CONCLUSION: Users can complete the grab task with minimum commands, avoiding the control burden caused by complex commands. This would provide a useful assistance means for people with severe motor impairment in their daily life.

Generic Technology of Home Service Robot

2011 ◽  
Vol 121-126 ◽  
pp. 3330-3334
Author(s):  
Zhong Hai Yu
Keyword(s):  
Modular Design ◽  
Service Robots ◽  
Service Robot ◽  
Home Nursing ◽  
Paper Briefly ◽  
Home Service Robot ◽  
Home Service ◽  
Reconfigurable Robot ◽  
Research Situation ◽  
Technology Standardization

The paper briefly looks back on current research situation of home service robots. It takes a home nursing robot as example to study and discuss some key generic technologies of home service robots. It generally overviewed robot’s mobile platform technology, modular design, reconfigurable robot technique, motion control, sensor technologies, indoor robot’s navigation and localization technology indoor, intelligentization, and robot’s technology standardization. Some the measures of technology standardization of home service robots have been put forward. It has realistic signification for industrialization of home service robots.

scholarly journals Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Michela Goffredo ◽  
Stefano Mazzoleni ◽  
Annalisa Gison ◽  
Francesco Infarinato ◽  
Sanaz Pournajaf ◽  
...  
Keyword(s):  
Upper Limb ◽  
Motor Performance ◽  
Time Course ◽  
Motor Impairment ◽  
Kinematic Parameters ◽  
Kinematic Data ◽  
Subacute Stroke ◽  
Severe Motor ◽  
Severe Motor Impairment ◽  
Point To Point

Background. Upper limb robot-assisted therapy (RT) provides intensive, repetitive, and task-specific treatment, and its efficacy for stroke survivors is well established in literature. Biomechanical data from robotic devices has been widely employed for patient’s assessment, but rarely it has been analysed for tracking patient progress during RT. The goal of this retrospective study is to analyse built-in kinematic data registered by a planar end-effector robot for assessing the time course of motor recovery and patient’s workspace exploration skills. A comparison of subjects having mild and severe motor impairment has been also conducted. For that purpose, kinematic data recorded by a planar end-effector robot have been processed for investigating how motor performance in executing point-to-point trajectories with different directions changes during RT.Methods. Observational retrospective study of 68 subacute stroke patients who conducted 20 daily sessions of upper limb RT with the InMotion 2.0 (Bionik Laboratories, USA): planar point-to-point reaching tasks with an “assist as needed” strategy. The following kinematic parameters (KPs) were computed for each subject and for each point-to-point trajectory executed during RT: movement accuracy, movement speed, number of peak speed, and task completion time. The Wilcoxon signed-rank tests were used with clinical outcomes. the Friedman test and post hoc Conover’s test (Bonferroni’s correction) were applied to KPs. A secondary data analysis has been conducted by comparing patients having different severities of motor impairment. The level of significance was set atpvalue < 0.05.Results. At the RT onset, the movements were less accurate and smoothed, and showed higher times of execution than those executed at the end of treatment. The analysis of the time course of KPs highlighted that RT seems to improve the motor function mainly in the first sessions of treatment: most KPs show significant intersession differences during the first 5/10 sessions. Afterwards, no further significant variations occurred. The ability to perform movements away from the body and from the hemiparetic side remains more challenging. The results obtained from the data stratification show significant differences between subjects with mild and severe motor impairment.Conclusion. Significant improvements in motor performance were registered during the time course of upper limb RT in subacute stroke patients. The outcomes depend on movement direction and motor impairment and pave the way to optimize healthcare resources and to design patient-tailored rehabilitative protocols.

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