Evidence map›Paper›PMID 40968979›Full record

ArticleSensors (Basel, Switzerland)2025

A Feasibility Study of Domain Adaptation for Exercise Intensity Recognition Based on Wearable Sensors.

Lei Pang, Yi Li, Ming-Xia Liao, Jia-Gang Qiu, Hui Li, Zhen Wang, Gang Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Lei PangInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100091, China.
Yi LiInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100091, China.
Ming-Xia LiaoInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100091, China.ORCID 0009-0005-6799-8279
Jia-Gang QiuSchool of Information and Control Engineering, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0009-0003-3320-8756
Hui LiInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100091, China.
Zhen WangInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100091, China.
Gang SunInstitute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100091, China.

Funding

Beijing Science and Technology Plan Project Grant No. Z221100005222031National Natural Science Foundation of China Grant No. 12402375Science and Technology School-strengthen Project of CUPES Grant No. 155223014
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ExerciseWearable Electronic DevicesAdultAlgorithmsFeasibility StudiesHumansMachine LearningMaleMonitoring, Physiologiccross-individualdeep subdomain adaptation networkdomain adaptationensemble learningexercise intensity

Identifiers

PMID40968979
PMCPMC12158358

What Socratic 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 Socratic graph.