Maher Abujelala
Maher Abujelala
School of Medicine, Yale University
Bestätigte E-Mail-Adresse bei yale.edu
Titel
Zitiert von
Zitiert von
Jahr
Brain-ee: Brain enjoyment evaluation using commercial eeg headband
M Abujelala, C Abellanoza, A Sharma, F Makedon
Proceedings of the 9th acm international conference on pervasive …, 2016
412016
Task engagement as personalization feedback for socially-assistive robots and cognitive training
K Tsiakas, M Abujelala, F Makedon
Technologies 6 (2), 49, 2018
152018
Votre: A vocational training and evaluation system to compare training approaches for the workplace
AR Babu, A Rajavenkatanarayanan, M Abujelala, F Makedon
International Conference on Virtual, Augmented and Mixed Reality, 203-214, 2017
102017
Towards Designing a Socially Assistive Robot for Adaptive and Personalized Cognitive Training
K Tsiakas, C Abellanoza, M Abujelala, M Papakostas, T Makada, ...
92017
MAGNI Dynamics: A Vision-Based Kinematic and Dynamic Upper-Limb Model for Intelligent Robotic Rehabilitation
A Lioulemes, M Theofanidis, K Tsiakas, M Abujelala, C Collander, ...
82017
An intelligent interactive learning and adaptation framework for robot-based vocational training
K Tsiakas, M Abujelala, A Lioulemes, F Makedon
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016
62016
Robot-aided rehabilitation using force analysis
M Abujelala, A Lioulemes, P Sassaman, F Makedon
Proceedings of the 8th ACM International Conference on PErvasive …, 2015
62015
Physical fatigue detection through EMG wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation
M Papakostas, V Kanal, M Abujelala, K Tsiakas, F Makedon
Proceedings of the 12th ACM International Conference on PErvasive …, 2019
42019
A Collaborative Assembly Task to Assess Worker Skills in Robot Manufacturing Environments
M Abujelala, S Gupta, F Makedon
Proceedings of the 11th PErvasive Technologies Related to Assistive …, 2018
42018
v-cat: A cyberlearning framework for personalized cognitive skill assessment and training
M Papakostas, K Tsiakas, M Abujelala, M Bell, F Makedon
Proceedings of the 11th PErvasive Technologies Related to Assistive …, 2018
32018
Multimodal analysis of serious games for cognitive and physiological assessment
B Chebaa, A Lioulemes, M Abujelala, D Ebert, S Phan, E Becker, ...
Proceedings of the 9th ACM International Conference on PErvasive …, 2016
32016
A survey of sensing modalities for human activity, behavior, and physiological monitoring
A Lioulemes, M Papakostas, SN Gieser, T Toutountzi, M Abujelala, ...
Proceedings of the 9th ACM International Conference on PErvasive …, 2016
32016
A survey of assistive technologies for assessment and rehabilitation of motor impairments in multiple sclerosis
A Rajavenkatanarayanan, V Kanal, K Tsiakas, D Calderon, M Papakostas, ...
Multimodal Technologies and Interaction 3 (1), 6, 2019
22019
Adaptive robotic rehabilitation using muscle fatigue as a trigger
V Kanal, M Abujelala, J Brady, G Wylie, F Makedon
Proceedings of the 16th EAI International Conference on Mobile and …, 2019
12019
Apsen: Pre-screening tool for sleep apnea in a home environment
V Kanal, M Abujelala, S Gattupalli, V Athitsos, F Makedon
International Conference on Digital Human Modeling and Applications in …, 2017
12017
CBREN: Computer Brain Entertainment System Using Neural Feedback Cognitive Enhancement
K Rajamani, A Ramalingam, S Bavisetti, M Abujelala
Proceedings of the 10th International Conference on PErvasive Technologies …, 2017
12017
4.1 AN AUTOMATED DIGITAL ASSESSMENT OF EXECUTIVE FUNCTIONING USING COGNITIVELY DEMANDING PHYSICAL TASKS: RELIABILITY, CONCURRENT VALIDITY, AND DISCRIMINANT VALIDITY IN A …
MD Bell, C Fleury, B Muppala, A Weinstein, M Abujelala
Journal of the American Academy of Child & Adolescent Psychiatry 59 (10), S147, 2020
2020
User Skill Assessment Using Informative Interfaces for Personalized Robot-Assisted Training
K Tsiakas, M Abujelala, A Rajavenkatanarayanan, F Makedon
International Conference on Learning and Collaboration Technologies, 88-98, 2018
2018
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