Poster Abstract: Integrating On- and Off-body Sensing for Young Adults Failure to Launch (FTL) Behavior Profiling

  • Yue Zhang
  • , Zhizhang Hu
  • , Uri Berger
  • , Shijia Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations
Original languageEnglish
Title of host publicationIPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks
PublisherAssociation for Computing Machinery, Inc
Pages320-321
Number of pages2
ISBN (Electronic)9798400701184
DOIs
StatePublished - 9 May 2023
Externally publishedYes
Event22nd ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2023 - San Antonio, United States
Duration: 9 May 202312 May 2023

Publication series

NameIPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks

Conference

Conference22nd ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2023
Country/TerritoryUnited States
CitySan Antonio
Period9/05/2312/05/23

Bibliographical note

Funding Information:
We introduce UCare, an on-/off-body sensing system for young adult with FTL behavior profiling. UCare utilizes the structural vibration (off-body) sensing to capture the family members’ activities non-intrusively and leverages the wearable (on-body) sensing to distinguish vibration signals between young adult with FTL and parents via a cross-modal signal association algorithm. We report preliminary results on behavior profiling and discuss both challenges and opportunities. Acknowledgement This research was supported by an American Psychological Foundation (APF) 2021 Drs. Rosalee G. and Raymond A. Weiss Research and Program Innovation Grant, a 2022 Seed Fund Award from CITRIS and the Banatao Institute at the University of California.

Funding

We introduce UCare, an on-/off-body sensing system for young adult with FTL behavior profiling. UCare utilizes the structural vibration (off-body) sensing to capture the family members’ activities non-intrusively and leverages the wearable (on-body) sensing to distinguish vibration signals between young adult with FTL and parents via a cross-modal signal association algorithm. We report preliminary results on behavior profiling and discuss both challenges and opportunities. Acknowledgement This research was supported by an American Psychological Foundation (APF) 2021 Drs. Rosalee G. and Raymond A. Weiss Research and Program Innovation Grant, a 2022 Seed Fund Award from CITRIS and the Banatao Institute at the University of California.

Funders
Banatao Institute at the University of California
American Psychological Foundation
Center for Information Technology Research in the Interest of Society

    Keywords

    • Failure to Launch
    • behavior profiling.
    • on- and off-body sensing

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