ArticleSensors (Basel, Switzerland)2015
Can smartwatches replace smartphones for posture tracking?
Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Healthcare Applications of Smart Watches. A Systematic Review.Applied clinical informatics · 2016Pooled it
- Integrating Artificial Intelligence-Driven Wearable Technology in Oncology Decision-Making: A Narrative Review.Oncology · 2025Review
- Promoting Adherence to Joint Exercise Using the Donation Model: Proof via a Motion-Detecting Mobile Exercise Coaching Application.Yonsei medical journal · 2022Article
- Motion Estimation and Hand Gesture Recognition-Based Human-UAV Interaction Approach in Real Time.Sensors (Basel, Switzerland) · 2022Article
- Online Activity Recognition Combining Dynamic Segmentation and Emergent Modeling.Sensors (Basel, Switzerland) · 2022Article
- A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study.JMIR formative research · 2021Article
- Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches.Sensors (Basel, Switzerland) · 2020Article
- Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone.Sensors (Basel, Switzerland) · 2020Article
- Monitoring Occupational Sitting, Standing, and Stepping in Office Employees With the W@W-App and the MetaWearC Sensor: Validation Study.JMIR mHealth and uHealth · 2020Article
- Sport-Related Human Activity Detection and Recognition Using a Smartwatch.Sensors (Basel, Switzerland) · 2019Article
- Detection of pancreatic tumor cell nuclei via a hyperspectral analysis of pathological slides based on stain spectra.Biomedical optics express · 2019Article
- Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study.JMIR mHealth and uHealth · 2019Article
- Occupational Risk Prevention through Smartwatches: Precision and Uncertainty Effects of the Built-In Accelerometer.Sensors (Basel, Switzerland) · 2018Article
- Activity Recognition Invariant to Wearable Sensor Unit Orientation Using Differential Rotational Transformations Represented by Quaternions.Sensors (Basel, Switzerland) · 2018Article
- A SURVEY OF SMARTWATCHES IN REMOTE HEALTH MONITORING.Journal of healthcare informatics research · 2018Article
- Toward Using a Smartwatch to Monitor Frailty in a Hospital Setting: Using a Single Wrist-Wearable Sensor to Assess Frailty in Bedbound Inpatients.Gerontology · 2018Article
- Opportunistic Environmental Sensing with Smartphones: a Critical Review of Current Literature and Applications.Current environmental health reports · 2017Review
- Recognition of Daily Gestures with Wearable Inertial Rings and Bracelets.Sensors (Basel, Switzerland) · 2016Article
- Inertial Sensor Based Analysis of Lie-to-Stand Transfers in Younger and Older Adults.Sensors (Basel, Switzerland) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper introduces a human posture tracking platform to identify the human postures of sitting, standing or lying down, based on a smartwatch. This work develops such a system as a proof-of-concept study to investigate a smartwatch's ability to be used in future remote health monitoring systems and applications. This work validates the smartwatches' ability to track the posture of users accurately in a laboratory setting while reducing the sampling rate to potentially improve battery life, the first steps in verifying that such a system would work in future clinical settings. The algorithm developed classifies the transitions between three posture states of sitting, standing and lying down, by identifying these transition movements, as well as other movements that might be mistaken for these transitions. The system is trained and developed on a Samsung Galaxy Gear smartwatch, and the algorithm was validated through a leave-one-subject-out cross-validation of 20 subjects. The system can identify the appropriate transitions at only 10 Hz with an F-score of 0.930, indicating its ability to effectively replace smart phones, if needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.