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Avinash Parnandi 0001
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- affiliation: New York University School of Medicine, USA
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2020 – today
- 2024
- [j10]Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath
, Heidi M. Schambra, Carlos Fernandez-Granda
Quantifying impairment and disease severity using AI models trained on healthy subjects. npj Digit. Medicine 7(1) (2024) - 2023
- [i6]Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda:
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects. CoRR abs/2311.12781 (2023) - 2022
- [c12]Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. NeurIPS 2022 - 2021
- [j9]Rodrigo Colnago Contreras
NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks. Sensors 21(13): 4482 (2021) - [j8]Avinash Parnandi
Partial Reinforcement in Game Biofeedback for Relaxation Training. IEEE Trans. Affect. Comput. 12(1): 141-153 (2021) - [i5]Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. CoRR abs/2111.02521 (2021) - [i4]Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra:
PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. CoRR abs/2112.11330 (2021) - 2020
- [c11]Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. MLHC 2020: 143-171 - [i3]Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda:
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR abs/2002.04019 (2020) - [i2]Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. CoRR abs/2004.08297 (2020)
2010 – 2019
- 2019
- [j7]Avinash Parnandi
Visual Biofeedback and Game Adaptation in Relaxation Skill Transfer. IEEE Trans. Affect. Comput. 10(2): 276-289 (2019) - [i1]Avinash Parnandi, Jasim Uddin, Dawn Nilsen, Heidi M. Schambra:
Pragmatic classification of movement primitives for stroke rehabilitation. CoRR abs/1902.08697 (2019) - 2018
- [j6]Zelun Wang
BioPad: Leveraging off-the-Shelf Video Games for Stress Self-Regulation. IEEE J. Biomed. Health Informatics 22(1): 47-55 (2018) - 2017
- [j5]Avinash Parnandi, Ricardo Gutierrez-Osuna:
Physiological Modalities for Relaxation Skill Transfer in Biofeedback Games. IEEE J. Biomed. Health Informatics 21(2): 361-371 (2017) - 2015
- [j4]Avinash Parnandi, Ricardo Gutierrez-Osuna:
A comparative study of game mechanics and control laws for an adaptive physiological game. J. Multimodal User Interfaces 9(1): 31-42 (2015) - [j3]Mostafa Ali Shahin
Tabby Talks: An automated tool for the assessment of childhood apraxia of speech. Speech Commun. 70: 49-64 (2015) - [j2]Avinash Parnandi, Virendra Karappa, Tian Lan, Mostafa Ali Shahin
Development of a Remote Therapy Tool for Childhood Apraxia of Speech. ACM Trans. Access. Comput. 7(3): 10:1-10:23 (2015) - [c10]Rhushabh Bhandari, Avinash Parnandi, Eva Shipp, Beena Ahmed, Ricardo Gutierrez-Osuna:
Music-based respiratory biofeedback in visually-demanding tasks. NIME 2015: 78-82 - 2014
- [c9]Jason Harris, Sarah Vance, Odair Fernandes, Avinash Parnandi, Ricardo Gutierrez-Osuna:
Sonic respiration: controlling respiration rate through auditory biofeedback. CHI Extended Abstracts 2014: 2383-2388 - 2013
- [c8]Avinash Parnandi, Youngpyo Son, Ricardo Gutierrez-Osuna:
A Control-Theoretic Approach to Adaptive Physiological Games. ACII 2013: 7-12 - [c7]Avinash Parnandi, Ricardo Gutierrez-Osuna:
Contactless Measurement of Heart Rate Variability from Pupillary Fluctuations. ACII 2013: 191-196 - [c6]Avinash Parnandi, Virendra Karappa, Youngpyo Son, Mostafa Ali Shahin
Architecture of an automated therapy tool for childhood apraxia of speech. ASSETS 2013: 5:1-5:8 - [c5]Avinash Parnandi, Beena Ahmed, Eva Shipp
Chill-Out: Relaxation Training through Respiratory Biofeedback in a Mobile Casual Game. MobiCASE 2013: 252-260 - 2012
- [c4]Asish Ghoshal, Avinash Parnandi, Robin R. Murphy:
Test method for measuring station-keeping with unmanned marine vehicles using sonar or optical sensors. PerMIS 2012: 155-159 - [p1]Eric Wade, Avinash Rao Parnandi:
Assisted Ambient Living Applied to Remote Motor Rehabilitation. Handbook of Ambient Assisted Living 2012: 567-580 - 2011
- [j1]Eric Wade
Socially assistive robotics for guiding motor task practice. Paladyn J. Behav. Robotics 2(4): 218-227 (2011) - [c3]Eric Wade, Avinash Rao Parnandi, Maja J. Mataric:
Using socially assistive robotics to augment motor task performance in individuals post-stroke. IROS 2011: 2403-2408 - 2010
- [c2]Eric Wade
Automated administration of the Wolf Motor Function Test for post-stroke assessment. PervasiveHealth 2010: 1-7
2000 – 2009
- 2009
- [c1]Avinash Parnandi, Ken Le, Pradeep Vaghela, Aalaya Kolli, Karthik Dantu, Sameera Poduri, Gaurav S. Sukhatme:
Coarse In-Building Localization with Smartphones. MobiCASE 2009: 343-354
Coauthor Index
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