AIMC Topic: Games, Recreational

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Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training.

Sensors (Basel, Switzerland) Dec 4, 2020
Using standard digital cameras in combination with deep learning (DL) for pose estimation is promising for the in-home and independent use of exercise games (exergames). We need to investigate to what extent such DL-based systems can provide satisfyi...
Postural Balance Motion Games, Recreational Humans Exercise Deep Learning
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Preschoolers' Motivation to Over-Imitate Humans and Robots.

Child development Aug 27, 2020
From preschool age, humans tend to imitate causally irrelevant actions-they over-imitate. This study investigated whether children over-imitate even when they know a more efficient task solution and whether they imitate irrelevant actions equally fro...
Photic Stimulation Imitative Behavior Games, Recreational Female Motivation Child Humans Male Video Recording Robotics Child, Preschool Reward
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Superhuman AI for multiplayer poker.

Science (New York, N.Y.) Jul 11, 2019
In recent years there have been great strides in artificial intelligence (AI), with games often serving as challenge problems, benchmarks, and milestones for progress. Poker has served for decades as such a challenge problem. Past successes in such b...
Game Theory Games, Recreational Humans Artificial Intelligence
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Experimental Design to Systematically Develop a Knowledge Base for Effective Games for Health.

Games for health journal Jun 3, 2019
Humans Knowledge Bases Health Promotion Games, Recreational
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Superhuman AI for heads-up no-limit poker: Libratus beats top professionals.

Science (New York, N.Y.) Dec 17, 2017
No-limit Texas hold'em is the most popular form of poker. Despite artificial intelligence (AI) successes in perfect-information games, the private information and massive game tree have made no-limit poker difficult to tackle. We present Libratus, an...
Games, Recreational Artificial Intelligence Algorithms Humans
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Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain.

Lancet (London, England) Dec 2, 2016
BACKGROUND: Phantom limb pain is a debilitating condition for which no effective treatment has been found. We hypothesised that re-engagement of central and peripheral circuitry involved in motor execution could reduce phantom limb pain via competiti...
Upper Extremity Middle Aged Sweden Cyclohexanecarboxylic Acids Treatment Outcome Aged Gabapentin Humans Adult Pain Measurement Games, Recreational Amines Machine Learning Exercise Therapy Amputation, Surgical Slovenia Virtual Reality Exposure Therapy gamma-Aminobutyric Acid Chronic Pain Phantom Limb
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Free-living Evaluation of Laboratory-based Activity Classifiers in Preschoolers.

Medicine and science in sports and exercise May 1, 2020
UNLABELLED: Machine learning classification models for accelerometer data are potentially more accurate methods to measure physical activity in young children than traditional cut point methods. However, existing algorithms have been trained on labor...
Humans Reproducibility of Results Exercise Running Video Recording Accelerometry Child, Preschool Support Vector Machine Walking Child Development Fitness Trackers Games, Recreational Sedentary Behavior
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Opinion: What does AI's success playing complex board games tell brain scientists?

Proceedings of the National Academy of Sciences of the United States of America Jul 23, 2019
Games, Recreational Artificial Intelligence Brain Humans
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[Deep Learning and AlphaGo].

Brain and nerve = Shinkei kenkyu no shinpo Jul 1, 2019
When the Information Processing Society of Japan (IPSJ) declared the end of the challenge to the Japanese Shogi Association in 2015, the belief was that it would take more than 20 years for computers to catch up with human professional Go players, as...
Neurosciences Games, Recreational Humans Deep Learning Japan
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Towards an Adaptive Upper Limb Rehabilitation Game with Tangible Robots.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
A key feature of a successful game is its ability to provide the player with an adequate level of challenge. However, the objective of difficulty adaptation in serious games is not only to maintain the player's motivation by challenging, but also to ...
Humans Games, Recreational Aged Female Electromyography Aged, 80 and over Male Adult Exercise Therapy Middle Aged Adolescent Upper Extremity Pilot Projects Robotics
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