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Daniel Geißler, M.Sc.

Organizational unit Embedded Intelligence
Contact

Address (Kaiserslautern) Trippstadter Straße 122D-67663 Kaiserslautern

Publications

Real-Time and on-the-Edge Multiple Channel Capacitive and Inertial Fusion-Based Glove

Hymalai Bello; Sungho Suh; Daniel Geißler; Lala Ray; Bo Zhou; Paul Lukowicz

In: International Conference on Body Area Networks. International Conference on Body Area Networks (Bodynets-2024), EAI BODYNETS 2023 2024 - 18th EAI International Conference on Body Area Networks: Intelligent Edge Cloud for Dependable Globally Connected BAN, located at 18th EAI International Conference on Body Area Networks: Intelligent Edge Cloud for Dependable Globally Connected BAN, February 5-6, Milan, Italy, Springer Bodynets, 2/2024.

To the publication

The Power of Training: How Different Neural Network Setups Influence the Energy Demand

Daniel Geißler; Bo Zhou; Mengxi Liu; Sungho Suh; Paul Lukowicz

In: AAAI-24 Workshop Program. AAAI Conference on Artificial Intelligence (AAAI), Workshop Sustainable AI, AAAI Conference and Symposium Proceedings, 2024.

To the publication

MoCa'Collection: Normalizing Dynamic Textile Geometry with Capacitive Sensing in Design Centric Wearables

Daniel Geißler; Esther Zahn; Hymalai Bello; Lala Ray; Emil Woop; Bo Zhou; Paul Lukowicz; Gesche Joost

In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. ACM International Symposium on Wearable Computers (ISWC-2023), UbiComp, located at UbiComp / ISWC 2023, October 8-12, Cancún, Mexico, Mexico, UbiComp/ISWC '23 Adjunct, Vol. 276–280, ISBN 9798400702006, Association for Computing Machinery, New York, NY, USA, 10/2023.

To the publication
All publications

Profile

  • SustainML_EI

    Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

    This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as easy to develop as standard ML systems are today.…

    SustainML_EI