Evidence map›Paper›PMID 37457914›Full record

ArticleIEEE transactions on emerging topics in computing

The Indoor Predictability of Human Mobility: Estimating Mobility with Smart Home Sensors.

Tinghui Wang, Diane J Cook, Thomas R Fischer

Abstract read
In one paragraph

Article in IEEE transactions on emerging topics in computing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Tinghui WangSchool of EECS, Washington State University, Pullman, WA, USA.
Diane J CookSchool of EECS, Washington State University, Pullman, WA, USA.
Thomas R FischerSchool of EECS, Washington State University, Pullman, WA, USA.

Funding

A clinician-in-the-loop smart home to support health monitoring and intervention for chronic conditions: Supplement to focus on Alzheimer's and/or other dementiasR01NR016732 · NINR · WASHINGTON STATE UNIVERSITY · PI Diane Joyce Cook, Roschelle Fritz · 2017 to 2026
$3.5M
Multidisciplinary undergraduate training program in Health-assistive Smart EnvironmentsR25AG046114 · NIA · WASHINGTON STATE UNIVERSITY · PI COOK, DIANE JOYCE, MINOR, BRYAN · 2014 to 2025
$3.4M
Multi-modal functional health assessment and intervention for individuals experiencing cognitive declineR01AG065218 · NIA · WASHINGTON STATE UNIVERSITY · PI COOK, DIANE JOYCE, SCHMITTER-EDGECOMBE, MAUREEN · 2020 to 2024
$3.3M
Smart environment technology for longitudinal behavior analysis and interventionR01EB015853 · NIBIB · WASHINGTON STATE UNIVERSITY · PI COOK, DIANE JOYCE, SCHMITTER-EDGECOMBE, MAUREEN · 2012 to 2015
$1.5M
NIA NIH HHS R01 AG065218NIA NIH HHS R25 AG046114NIBIB NIH HHS R01 EB015853NINR NIH HHS R01 NR016732
6 · The paper itself

Abstract

Analyzing human mobility patterns is valuable for understanding human behavior and providing location-anticipating services. In this work, we theoretically estimate the predictability of human movement for indoor settings, a problem that has not yet been tackled by the community. To validate the model, we utilize location data collected by ambient sensors in residential settings. The data support the model and allow us to contrast the predictability of various groups, including single-resident homes, homes with multiple residents, and homes with pets.

Indexed as

compressionhuman mobilitypredictionsmart homes

Identifiers

PMID37457914
PMCPMC10348693

What OpenQuestion holds

Textmetadata
LicenceTDM
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.