Cited by 1,401Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting Materials

Wearable Sensors for Human Activity Monitoring: A Review

Mukhopadhyay, Subhas Chandra·2015·IEEE Sensors Journal

Abstract

An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart systems to monitor activities of human beings continuously. Wearable sensors detect abnormal and/or unforeseen situations by monitoring physiological parameters along with other symptoms. Therefore, necessary help can be provided in times of dire need. This paper reviews the latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges.

Integrity signals

Registry

Crossref · 10.1109/jsen.2014.2370945

Cites

94 of 94 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Long-term and continuous monitoring of vital signs is particularly important in early diagnosis of diseases, management of chronic diseases, and timely response to life-threatening situations.

    “Long-term and continuous monitoring of vital signs is particularly important in early diagnosis of diseases, management of chronic diseases such as diabetes, asthma, hypertension, and severe obesity, and timely response to life-threatening situations such as seizure and cardiac arrest.[2,3]”

    From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [3]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Mukhopadhyay, S. C.
Affiliations
Massey University (NZ)
Corresponding author
Mukhopadhyay, Subhas Chandra
Venue
IEEE Sensors Journal
Published
2015-03
Volume
15
Issue
3
Pages
1321-1330
ISSN
  • 1530-437X (ISSN-L)
  • 1558-1748
  • 2379-9153
OpenAlex
W2084553975
Cited by
1,401
References
94
Citations by year
2026: 59 · 2025: 83 · 2024: 93 · 2023: 109 · 2022: 105 · 2021: 161 · 2020: 165 · 2019: 226 · 2018: 175 · 2017: 108 · 2016: 83 · 2015: 34
FWCI
67.06
Type
journal article
Language
en
Open access
closed
Locations
IEEE Sensors Journal (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
Keywords
wearable sensors, human activity monitoring, physiological monitoring, remote patient monitoring, continuous health monitoring, wireless communication, embedded systems, nanotechnology, miniaturization, population aging, health care costs

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review