Harish Haresamudram

According to our database, Harish Haresamudram authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition.

Harish Haresamudram, Irfan Essa, Thomas Plötz

Sensors, February, 2024

2023

Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition.

Megha Thukral, Harish Haresamudram, Thomas Ploetz

CoRR, 2023

Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition.

Harish Haresamudram, Irfan Essa, Thomas Plötz

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?

Sourish Gunesh Dhekane, Harish Haresamudram, Megha Thukral, Thomas Plötz

Proceedings of the 2023 International Symposium on Wearable Computers, 2023

Solving the Sensor-based Activity Recognition Problem (SOAR): Self-supervised, Multi-modal Recognition of Activities from Wearable Sensors.

Harish Haresamudram, Chi Ian Tang, Sungho Suh, Paul Lukowicz, Thomas Ploetz

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing.

Harish Haresamudram, Jina Suh, Javier Hernandez, Jenna L. Butler, Ahad Chaudhry, Longqi Yang, Koustuv Saha, Mary Czerwinski

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022

Assessing the State of Self-Supervised Human Activity Recognition Using Wearables.

Harish Haresamudram, Irfan Essa, Thomas Plötz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Multi-Stage Based Feature Fusion of Multi-Modal Data for Human Activity Recognition.

Hyeongju Choi, Apoorva Beedu, Harish Haresamudram, Irfan Essa

CoRR, 2022

A Personalized Approach for Developing a Snacking Detection System using Earbuds in a Semi-Naturalistic Setting.

Mehrab Bin Morshed, Harish Kashyap Haresamudram, Dheeraj Bandaru, Gregory D. Abowd, Thomas Ploetz

Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

Clustering of Human Activities from Wearables by Adopting Nearest Neighbors.

Abrar Ahmed, Harish Haresamudram, Thomas Ploetz

Proceedings of the 2022 ACM International Symposium on Wearable Computers, 2022

2021

Can You See It?: Good, So We Can Sense It!

HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz

GetMobile Mob. Comput. Commun., 2021

Contrastive Predictive Coding for Human Activity Recognition.

Harish Haresamudram, Irfan A. Essa, Thomas Plötz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

2020

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.

HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Plötz

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Masked reconstruction based self-supervision for human activity recognition.

Harish Haresamudram, Apoorva Beedu, Varun Agrawal, Patrick L. Grady, Irfan A. Essa, Judy Hoffman, Thomas Plötz

Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

2019

On the role of features in human activity recognition.

Harish Haresamudram, David V. Anderson, Thomas Plötz

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019