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Harish Haresamudram
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IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition
H Kwon, C Tong, H Haresamudram, Y Gao, GD Abowd, ND Lane, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020
1532020
Masked reconstruction based self-supervision for human activity recognition
H Haresamudram, A Beedu, V Agrawal, PL Grady, I Essa, J Hoffman, ...
Proceedings of the 2020 ACM International Symposium on Wearable Computers, 45-49, 2020
1292020
Contrastive Predictive Coding for Human Activity Recognition
H Haresamudram, I Essa, T Plötz
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021
1182021
On the role of features in human activity recognition
H Haresamudram, DV Anderson, T Plötz
Proceedings of the 2019 ACM International Symposium on Wearable Computers, 78-88, 2019
962019
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H Haresamudram, I Essa, T Plötz
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022
762022
Investigating enhancements to contrastive predictive coding for human activity recognition
H Haresamudram, I Essa, T Plötz
2023 IEEE International Conference on Pervasive Computing and Communications …, 2023
242023
Factor analysis methods for joint speaker verification and spoof detection
BK Dhanush, S Suparna, R Aarthy, C Likhita, D Shashank, H Harish, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
182017
Method and system for automatic extraction of virtual on-body inertial measurement units
H Kwon, GD Abowd, HK Haresamudram, T Ploetz, EGC Tong, Y Gao, ...
US Patent App. 17/464,488, 2022
142022
A personalized approach for developing a snacking detection system using earbuds in a semi-naturalistic setting
M Bin Morshed, HK Haresamudram, D Bandaru, GD Abowd, T Plötz
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 11-16, 2022
102022
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition
H Haresamudram, I Essa, T Ploetz
Sensors 24 (4), 1238, 2024
82024
How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?
SG Dhekane, H Haresamudram, M Thukral, T Plötz
Proceedings of the 2023 ACM International Symposium on Wearable Computers, 66-70, 2023
72023
Clustering of Human Activities from Wearables by Adopting Nearest Neighbors
A Ahmed, H Haresamudram, T Ploetz
Proceedings of the 2022 ACM International Symposium on Wearable Computers, 1-5, 2022
72022
IITG-Indigo system for NIST 2016 SRE challenge
N Kumar, RK Das, S Jelil, BK Dhanush, H Kashyap, KSR Murty, ...
Proceedings of the Annual Conference of the International Speech …, 2017
42017
Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
M Thukral, SG Dhekane, SK Hiremath, H Haresamudram, T Ploetz
arXiv preprint arXiv:2405.12368, 2024
32024
Cross-domain har: Few shot transfer learning for human activity recognition
M Thukral, H Haresamudram, T Ploetz
ACM Transactions on Intelligent Systems and Technology, 2023
32023
Software fault tolerance in PISAT
A Krishna, BN Baliga, H Kashyap, MM Nayak, D Rao, VK Agrawal
2015 IEEE International Conference on Electronics, Computing and …, 2015
3*2015
Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors
H Haresamudram, CI Tang, S Suh, P Lukowicz, T Ploetz
Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023
22023
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
H Haresamudram, H Rajasekhar, NM Shanbhogue, T Ploetz
arXiv preprint arXiv:2406.05900, 2024
12024
Investigating self-supervised learning for predicting stress and stressors from passive sensing
H Haresamudram, J Suh, J Hernandez, J Butler, A Chaudhry, L Yang, ...
2023 11th International Conference on Affective Computing and Intelligent …, 2023
12023
Personalization Models for Human Activity Recognition with Distribution Matching-Based Metrics
HT Nguyen, H Kwon, H Haresamudram, AF Peterson, T Plötz
Deep Learning for Human Activity Recognition: Second International Workshop …, 2021
12021
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