Evidence map›Paper›PMID 27775673›Full record

ArticleSensors (Basel, Switzerland)2016

Design and Implementation of Foot-Mounted Inertial Sensor Based Wearable Electronic Device for Game Play Application.

Qifan Zhou, Hai Zhang, Zahra Lari, Zhenbo Liu, Naser El-Sheimy

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Valid and Reliable Barbell Velocity Estimation Using an Inertial Measurement Unit.International journal of environmental research and public health · 2021
    Article
  3. Article
  4. 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

5 authors.

Qifan ZhouSchool of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. qifan.zhou@ucalgary.ca.
Hai ZhangSchool of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. zhanghai@buaa.edu.cn.
Zahra LariGeomatics Engineering Department, University of Calgary, Calgary, AB T2N 1N4, Canada. zlari@ucalgary.ca.
Zhenbo LiuGeomatics Engineering Department, University of Calgary, Calgary, AB T2N 1N4, Canada. zhenbo.liu2@ucalgary.ca.
Naser El-SheimyGeomatics Engineering Department, University of Calgary, Calgary, AB T2N 1N4, Canada. elsheimy@ucalgary.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable electronic devices have experienced increasing development with the advances in the semiconductor industry and have received more attention during the last decades. This paper presents the development and implementation of a novel inertial sensor-based foot-mounted wearable electronic device for a brand new application: game playing. The main objective of the introduced system is to monitor and identify the human foot stepping direction in real time, and coordinate these motions to control the player operation in games. This proposed system extends the utilized field of currently available wearable devices and introduces a convenient and portable medium to perform exercise in a more compelling way in the near future. This paper provides an overview of the previously-developed system platforms, introduces the main idea behind this novel application, and describes the implemented human foot moving direction identification algorithm. Practical experiment results demonstrate that the proposed system is capable of recognizing five foot motions, jump, step left, step right, step forward, and step backward, and has achieved an over 97% accuracy performance for different users. The functionality of the system for real-time application has also been verified through the practical experiments.

Indexed as

FootWearable Electronic DevicesAlgorithmsBiosensing TechniquesEquipment DesignHumansSignal Processing, Computer-Assistedfoot moving directiongame playwearable electronic device

Identifiers

PMID27775673
PMCPMC5087537

What OpenQuestion holds

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Registered trials

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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.