An interactive training system of motor learning by imitation and speech instructions for children with autism

Liu, Xiaofeng; Zhou, Xiaoqing; Liu, Ce; Jian‐min, Wang; Xiao-qin, Zhou; Xu, Ning; Jiang, Aimin

doi:10.1109/hsi.2016.7529609

Cited by 6 publications

(5 citation statements)

References 13 publications

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“…The authors developed an Android app by analyzing activity detection algorithms and enhancing accuracy and efficiency with the least amount of delay. An instructional platform was developed by Liu et al [36]. The researchers created a robot that can mimic ASD and vice versa.…”

Section: Children With Asd May Be Diagnosed and Theirmentioning

confidence: 99%

Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies

et al. 2023

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The behaviors of children with autism spectrum disorder (ASD) are often erratic and difficult to predict. Most of the time, they are unable to communicate effectively in their own language. Instead, they communicate using hand gestures and pointing phrases. Because of this, it can be difficult for caregivers to grasp their patients’ requirements, although early detection of the condition can make this much simpler. Assistive technology and the Internet of Things (IoT) can alleviate the absence of verbal and nonverbal communication in the community. The IoT-based solutions use machine Learning (ML) and deep learning (DL) algorithms to diagnose and enhance the lives of patients. A thorough review of ASD techniques in the setting of IoT devices is presented in this research. Identifying important trends in IoT-based health care research is the primary objective of this review. There is also a technical taxonomy for organizing the current articles on ASD algorithms and methodologies based on different factors such as AI, SS network, ML, and IoT. On the basis of criteria such as accuracy and sensitivity, the statistical and operational analyses of the examined ASD techniques are presented.

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Section: Children With Asd May Be Diagnosed and Theirmentioning

confidence: 99%

Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies

et al. 2023

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“…The robot gave instructions to the child and asked for instructions from the child. Although this technique could not handle complex conversations, it improved the children's communication and social skills [14]. Instead of a robot with a xed appearance, a virtual agent named "AVATAR" was customized to teach children interaction skills by imitation.…”

Section: Social Interaction and Communicationmentioning

confidence: 99%

“…Several technologies were combined with IoT to prototype and construct a system that assists people with autism. In the learning eld, IoT has been exploited with serious gaming ( [7]), VR ( [10], [14]), and robot technology (humanoid robot, wearable robot, etc.) To enhance the autonomy of people with autism and their safety, mobile technology was used for visualization and intervention.…”

Section: Rgb Camerasmentioning

confidence: 99%

A systematic literature review on the internet of things applications used by people with autism spectrum disorder

ARBAOUI

ELHARI

SAIDI

2023

Preprint

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In this paper, we provide a systematic literature review that explores the Internet of Things (IoT) application to support people affected by Autism Spectrum Disorder (ASD). This disorder represents several limitations to learning, interacting with others, and communicating. Research has shown the great potential of the IoT in providing approaches that target individuals with ASD and help them in learning and their daily activities. Several studies on the topic of IoT were reviewed. The main aim of this review is to recognize relevant studies about the use of IoT to support people affected by ASD, particularly children. In addition, a classification is presented to classify the existing papers.

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“…Apart from general health and fitness, several specific medical and rehabilitation issues have been addressed in the HCI and the medical community. Among these issues were stroke rehabilitation [6], Parkinson's disease [34], cerebral palsy [16], autism [28] and, most importantly for the focus of this work, musculoskeletal disorders (MSDs) [13,12] including disorders of the knee [5] and the shoulder [21,27].…”

Section: Related Workmentioning

confidence: 99%

“…Augmented reality head sets for physiotherapy were investigated by Dezentje et al [17] and in follow-up work by Cidota et al [14]. Liu et al employed a humanoid robot in an interactive training system of motor learning [28].…”

Section: Related Workmentioning

confidence: 99%

(How) Can an App Support Physiotherapy for Frozen Shoulder Patients?

Stütz

2019

Human-Computer Interaction – INTERACT 2019

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People affected by the frozen shoulder syndrome show limited shoulder mobility which is often accompanied by pain. The frozen shoulder syndrome often lasts from months to years, and mostly affects people in the age group of 40 to 70 years. The frozen shoulder syndrome severely reduces the quality of life and the ability to work. A common treatment method is physiotherapy. Patients are referred to a physiotherapist, who selects specific exercises adapted for the specific patient. Physiotherapy requires patient compliance, time, and effort. Correct exercise performance and compliance are the main issues in physiotherapy. A smartphone app could support patients by providing detailed exercise instructions and motivation through exercise logging, as is common for fitness and sport. In this work, such an app for frozen shoulder syndrome, the ShoulderApp, is evaluated in two user studies. The main contribution is that the user studies were conducted in an ambulatory assessment setting, which allows to draw conclusions about real-world usage, usability and user acceptance. The app was regularly used and study participants were satisfied. Additionally, we researched the usability and usage of interactive 3D and multi-modal exercise instructions, motivational aspects, exercise correctness and the interplay of physiotherapy and app usage. Measurements of shoulder mobility are the key assessment tool for the state and progress of the frozen shoulder syndrome. A smartphone sensor-based measurement tool, which only required a simple band in addition to the smartphone, was developed and evaluated. Interventions with the ShoulderApp were evaluated in a three-week short-term intervention and an 18-week midterm evaluation with 5 patients each. For the evaluation of the results, we used standardized questionnaires, SUS, TAM-2, and USE. In addition, semi-structured interviews and automatic logging of user-interactions in the app were included as the outcome measurements. Overall, the results for both the short-term and mid-term user studies showed that the ShoulderApp could support physiotherapy for frozen shoulder patients. The positive results of the studies show the potential of a generalization of the ShoulderApp concept to the large group of musculoskeletal disorders such as lower back pain and knee injuries.

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An interactive training system of motor learning by imitation and speech instructions for children with autism

Cited by 6 publications

References 13 publications

Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies

Evaluation of Autism Spectrum Disorder Based on the Healthcare by Using Artificial Intelligence Strategies

A systematic literature review on the internet of things applications used by people with autism spectrum disorder

(How) Can an App Support Physiotherapy for Frozen Shoulder Patients?

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