Results 31 to 40 of about 181,901 (289)

Willingness to Share Wearable Device Data for Research Among Mechanical Turk Workers: Web-Based Survey Study

open access: yesJournal of Medical Internet Research, 2021
BackgroundWearable devices that are used for observational research and clinical trials hold promise for collecting data from study participants in a convenient, scalable way that is more likely to reach a broad and diverse ...
Casey Overby Taylor   +3 more
doaj   +1 more source

Acceptability of the transitional wearable companion “+me” in typical children: a pilot study [PDF]

open access: yes, 2019
This work presents the results of the first experimentation of +me-the first prototype of Transitional Wearable Companion–run on 15 typically developed (TD) children with ages between 8 and 34 months.
Baldassarre, Gianluca   +8 more
core   +2 more sources

The Wearable Level for Wearable Devices [PDF]

open access: yesProceedings of The 5th International Conference on Computer Engineering and Networks — PoS(CENet2015), 2015
With the development of smart mobile computer, more and more portable devices are coming into market that includes wearable devices. To evaluate the wearable devices, the wearable level is an important reference. In this paper, we proposed to evaluate wearable devices based on quality characteristics.
openaire   +1 more source

Discussion About the Influence of Wearable Device on Mobile Operators'Service

open access: yesDianxin kexue, 2014
Wearable device service got a fast development in the last two years. But for the mobile operator, the value of wearable device, as well as the way to get into this business, is still unclear.
Tong Mao, Kaiyu Zhou
doaj   +2 more sources

Validation and Acceptability of a Cuffless Wrist-Worn Wearable Blood Pressure Monitoring Device Among Users and Health Care Professionals: Mixed Methods Study

open access: yesJMIR mHealth and uHealth, 2019
BackgroundBlood pressure (BP) is an important modifiable cardiovascular risk factor, yet its long-term monitoring remains problematic. Wearable cuffless devices enable the capture of multiple BP measures during everyday activities and could improve BP ...
Islam, Sheikh Mohammed Shariful   +6 more
doaj   +1 more source

The Mediating Role of Organizational Reputation and Trust in the Intention to Use Wearable Health Devices: Cross-Country Study

open access: yesJMIR mHealth and uHealth, 2020
BackgroundThe use of consumer wearable health devices for fitness tracking has seen an upward trend across the globe. Previous studies have shown that trust is an important factor in the adoption and use of new technologies.
Adebesin, Funmi, Mwalugha, Revingstone
doaj   +1 more source

Research and sustainable design of wearable sensor for clothing based on body area network

open access: yesCognitive Computation and Systems, 2021
The body area network (BAN) is composed of every wearable device network on the body to share information and data, which is applied in medical and health, especially in the direction of intelligent clothing.
Ren Xiangfang   +4 more
doaj   +1 more source

We-VoltamoStat: A wearable potentiostat for voltammetry analysis with a smartphone interface

open access: yesHardwareX, 2023
Wearable technology, such as electronic components integrated into clothing or worn as accessories, is becoming increasingly prevalent in fields like healthcare and biomedical monitoring.
Nur Fatin Adini Ibrahim   +6 more
doaj   +1 more source

Wearable sensors system for an improved analysis of freezing of gait in Parkinson's disease using electromyography and inertial signals [PDF]

open access: yes, 2019
We propose a wearable sensor system for automatic, continuous and ubiquitous analysis of Freezing of Gait (FOG), in patients affected by Parkinson's disease.
Gumiero, Alessandro   +5 more
core   +1 more source

Human Daily Activity Recognition Performed Using Wearable Inertial Sensors Combined With Deep Learning Algorithms

open access: yesIEEE Access, 2020
This study proposed a wearable device capable of recognizing six human daily activities (walking, walking upstairs, walking downstairs, sitting, standing, and lying) through a deep learning algorithm.
Chih-Ta Yen, Jia-Xian Liao, Yi-Kai Huang
doaj   +1 more source

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