TagTeam: TowardsWearable-Assisted, Implicit Guidance for Human-Drone Teams

Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas Waytowich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The availability of sensor-rich smart wearables and tiny, yet capable, unmanned vehicles such as nano quadcopters, opens up opportunities for a novel class of highly interactive, attention-sharing human-machine teams. Reliable, lightweight, yet passive exchange of intent, data and inferences within such human-machine teams make them suitable for scenarios such as search-and-rescue with significantly improved performance in terms of speed, accuracy and semantic awareness. In this paper, we articulate a vision for such human-drone teams and key technical capabilities such teams must encompass. We present TagTeam, an early prototype of such a team and share promising demonstration of a key capability (i.e., motion awareness).

Original languageEnglish (US)
Title of host publicationSmartWear 2022 - Proceedings of the 1st ACM Workshop on Smart Wearable Systems and Applications
PublisherAssociation for Computing Machinery, Inc
Pages13-18
Number of pages6
ISBN (Electronic)9781450395243
DOIs
StatePublished - Oct 17 2022
Externally publishedYes
Event1st ACM Workshop on Smart Wearable Systems and Applications, SmartWear 2022 - Sydney, Australia
Duration: Oct 17 2022 → …

Publication series

NameSmartWear 2022 - Proceedings of the 1st ACM Workshop on Smart Wearable Systems and Applications

Conference

Conference1st ACM Workshop on Smart Wearable Systems and Applications, SmartWear 2022
Country/TerritoryAustralia
CitySydney
Period10/17/22 → …

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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