AIMC Topic: Video Games
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Learning to Detect Cognitive Impairment through Digital Games and Machine Learning Techniques.
Methods of information in medicine
Sep 24, 2018
OBJECTIVE: Alzheimer's disease (AD) is one of the most prevalent diseases among the adult population. The early detection of Mild Cognitive Impairment (MCI), which may trigger AD, is essential to slow down the cognitive decline process.
Dual-task training of children with neuromotor disorders during robot-assisted gait therapy: prerequisites of patients and influence on leg muscle activity.
Journal of neuroengineering and rehabilitation
Sep 17, 2018
BACKGROUND: Walking in daily life is complex entailing various prerequisites such as leg strength, trunk stability or cognitive and motor dual task (DT) activities. Conventional physiotherapy can be complemented with robot-assisted gait therapy (RAGT...
A Wearable Multi-Modal Bio-Sensing System Towards Real-World Applications.
IEEE transactions on bio-medical engineering
Sep 4, 2018
Multi-modal bio-sensing has recently been used as effective research tools in affective computing, autism, clinical disorders, and virtual reality among other areas. However, none of the existing bio-sensing systems support multi-modality in a wearab...
Active Inference in OpenAI Gym: A Paradigm for Computational Investigations Into Psychiatric Illness.
Biological psychiatry. Cognitive neuroscience and neuroimaging
Jul 10, 2018
BACKGROUND: Artificial intelligence has recently attained humanlike performance in a number of gamelike domains. These advances have been spurred by brain-inspired architectures and algorithms such as hierarchical filtering and reinforcement learning...
The Combined Effects of Adaptive Control and Virtual Reality on Robot-Assisted Fine Hand Motion Rehabilitation in Chronic Stroke Patients: A Case Study.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Sep 14, 2017
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. However, the lack of fully adaptive assist-as-needed control of the ro...
Motor Activity
Video Games
Stroke Rehabilitation
Recovery of Function
Chronic Disease
Robotics
Hand
Stroke
Range of Motion, Articular
Adaptation, Psychological
Virtual Reality Exposure Therapy
Time Factors
Treatment Outcome
Neuronal Plasticity
Muscle Strength
Aged
Humans
Biomechanical Phenomena
Female
Male
Middle Aged
Mind Games: Game Engines as an Architecture for Intuitive Physics.
Trends in cognitive sciences
Jun 24, 2017
We explore the hypothesis that many intuitive physical inferences are based on a mental physics engine that is analogous in many ways to the machine physics engines used in building interactive video games. We describe the key features of game physic...
Controlling robots in the home: Factors that affect the performance of novice robot operators.
Applied ergonomics
Jun 6, 2017
For robots to successfully integrate into everyday life, it is important that they can be effectively controlled by laypeople. However, the task of manually controlling mobile robots can be challenging due to demanding cognitive and sensorimotor requ...
Developing a Wearable Ankle Rehabilitation Robotic Device for in-Bed Acute Stroke Rehabilitation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 22, 2016
Ankle movement training is important in motor recovery post stroke and early intervention is critical to stroke rehabilitation. However, acute stroke survivors receive motor rehabilitation in only a small fraction of time, partly due to the lack of e...
Video Games
Stroke Rehabilitation
Humans
Motion Therapy, Continuous Passive
Reproducibility of Results
Sensitivity and Specificity
Robotics
Ankle Joint
Therapy, Computer-Assisted
Equipment Design
Equipment Failure Analysis
Biofeedback, Psychology
Exoskeleton Device
Exercise Therapy
Monitoring, Ambulatory
A Prototype SSVEP Based Real Time BCI Gaming System.
Computational intelligence and neuroscience
Mar 9, 2016
Although brain-computer interface technology is mainly designed with disabled people in mind, it can also be beneficial to healthy subjects, for example, in gaming or virtual reality systems. In this paper we discuss the typical architecture, paradig...
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.
IEEE transactions on medical imaging
Feb 11, 2016
The lack of publicly available ground-truth data has been identified as the major challenge for transferring recent developments in deep learning to the biomedical imaging domain. Though crowdsourcing has enabled annotation of large scale databases f...
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