Evidence map›Paper›PMID 37448070›Full record

ArticleSensors (Basel, Switzerland)2023

Identification and Classification of Human Body Exercises on Smart Textile Bands by Combining Decision Tree and Convolutional Neural Networks.

Bonhak Koo, Ngoc Tram Nguyen, Jooyong Kim

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% of its field
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 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  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 at 1 institution in 1 country.

Bonhak KooDepartment of Materials Science and Engineering, Soongsil University, Seoul 156-743, Republic of Korea.ORCID 0009-0004-7554-6400
Ngoc Tram NguyenDepartment of Smart Wearable Engineering, Soongsil University, Seoul 156-743, Republic of Korea.
Jooyong KimDepartment of Materials Science and Engineering, Soongsil University, Seoul 156-743, Republic of Korea.ORCID 0000-0003-1969-5730
Soongsil University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, human activity recognition (HAR) has gained significant interest from researchers in the sports and fitness industries. In this study, the authors have proposed a cascaded method including two classifying stages to classify fitness exercises, utilizing a decision tree as the first stage and a one-dimension convolutional neural network as the second stage. The data acquisition was carried out by five participants performing exercises while wearing an inertial measurement unit sensor attached to a wristband on their wrists. However, only data acquired along the

Indexed as

Human BodyNeural Networks, ComputerDecision TreesExerciseHuman ActivitiesHumans1D-convolutioncascaded algorithmsdecision treeexercise classificationHARIMUsmart wearables

Identifiers

PMID37448070
PMCPMC10346260
OpenAlexW4383695663

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.