Evidence map›Paper›PMID 36447642›Full record

ArticleProceedings of the ... IEEE International Conference on Pervasive Computing and Communications. IEEE International Conference on Pervasive Computing and Communications2022

ActiSight: Wearer Foreground Extraction Using a Practical RGB-Thermal Wearable.

Rawan Alharbi, Sougata Sen, Ada Ng, Nabil Alshurafa, Josiah Hester

Abstract read
In one paragraph

Article in Proceedings of the ... IEEE International Conference on Pervasive Computing and Communications. IEEE International Conference on Pervasive Computing and Communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  2. Detecting Eating and Social Presence with All Day Wearable RGB-T....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2023
    Article
  3. Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems?Extended abstracts on Human factors in computing systems. CHI Conference · 2023
    Article
  4. SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T.... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rawan AlharbiDepartment of Computer Science, Northwestern University, Evanston, IL, USA.
Sougata SenDepartment of Preventive Medicine, Northwestern University, Chicago, IL, USA.
Ada NgDepartment of Computer Science, Northwestern University, Evanston, IL, USA.
Nabil AlshurafaDepartment of Computer Science, Northwestern University, Evanston, IL, USA.
Josiah HesterDepartment of Computer Science, Northwestern University, Evanston, IL, USA.

Funding

SenseWhy: Overeating in Obesity Through the Lens of Passive Sensing.K25DK113242 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALSHURAFA, NABIL · 2018 to 2022
$881k
BehaviorSight: Privacy enhancing wearable system to detect health risk behaviors in real-time.R21EB030305 · NIBIB · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALSHURAFA, NABIL · 2020 to 2020
$607k
WildCam: A Privacy Conscious Wearable Eating Detection Camera People will Actually Wear in the WildR03DK127128 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALSHURAFA, NABIL · 2021 to 2022
$234k
NIBIB NIH HHS R21 EB030305NIDDK NIH HHS K25 DK113242NIDDK NIH HHS R03 DK127128
6 · The paper itself

Abstract

Wearable cameras provide an informative view of wearer activities, context, and interactions. Video obtained from wearable cameras is useful for life-logging, human activity recognition, visual confirmation, and other tasks widely utilized in mobile computing today. Extracting foreground information related to the wearer and separating irrelevant background pixels is the fundamental operation underlying these tasks. However, current wearer foreground extraction methods that depend on image data alone are slow, energy-

Indexed as

in wildthermalWearable cameras

Identifiers

PMID36447642
PMCPMC9704365

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.