Anticipatory Hand Glove: Understanding Human Actions for Enhanced Interaction

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Perceived real-time interactions between humans and a metaverse often require synchronizing actions in the virtual and real world. Latency is a main blocking factor due to processing and transmitting data over long distances because cloud data centres that deploy metaverse locate far away. We present an anticipatory computing solution to predict precisely human actions grasping objects based on hand kinesthetics leveraging smart gloves with IMU and flexion sensors. We demonstrated that the gain from the anticipation of up to several hundred milliseconds could compensate for computing and transmission latency, enabling immersive interactions over extremely long distances. Our solution is flexible and is free from locking into particular smart glove vendors, making it easy for future extensions.

Details

OriginalspracheEnglisch
TitelUbiComp/ISWC 2023 Adjunct - Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing
Herausgeber (Verlag)Association for Computing Machinery, Inc
Seiten170-174
Seitenumfang5
ISBN (elektronisch)9798400702006
PublikationsstatusVeröffentlicht - 8 Okt. 2023
Peer-Review-StatusJa

Konferenz

Titel2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2023 ACM International Symposium on Wearable Computing, UbiComp/ISWC 2023
Dauer8 Oktober 2023
StadtCancun, Quintana Roo
LandMexiko

Externe IDs

ORCID /0000-0001-7008-1537/work/158767464

Schlagworte

Schlagwörter

  • anticipatory computing, deep learning, gesture recognition, human-machine interactions