Results 81 to 90 of about 828,009 (393)

DeepWalking: Enabling Smartphone-based Walking Speed Estimation Using Deep Learning

, 2018
Walking speed estimation is an essential component of mobile apps in various fields such as fitness, transportation, navigation, and health-care. Most existing solutions are focused on specialized medical applications that utilize body-worn motion ...
Shrestha, Aawesh, Won, Myounggyu
core   +1 more source

Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the utility of smartwatch and smartphone‐based activity metrics for assessing disease severity and quality of life in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). Methods In the electronic monitoring of disease activity in patients with CIDP (EMDA‐CIDP) trial, we performed a prospective ...
Lars Masanneck, Jan Voth, Noëmi Gmahl, Konstantin Jendretzky, Niklas Huntemann, Noah M. Werner, Linea Schmidt, Menekse Oeztuerk, Paula Quint, Christina B. Schroeter, Hans Peter Hartung, Thomas Skripuletz, Gerd Meyer zu Hörste, Tobias Ruck, Sven G. Meuth, Marc Pawlitzki   +15 more
wiley   +1 more source

The Effects of Smartphone Use During Resistance Training

Pamukkale Spor Bilimleri Dergisi
Several health risks are associated with sedentary behavior; therefore, it is important to better understand behaviors such as smartphone use and how it may influence physical activity and/or exercise.
Taylor Cornell, Emily Beach, Morgan Rekstis, Mallory Kobak, Michael Rebold   +4 more
doaj   +1 more source

SaferCross: Enhancing Pedestrian Safety Using Embedded Sensors of Smartphone [PDF]

, 2020
The number of pedestrian accidents continues to keep climbing. Distraction from smartphone is one of the biggest causes for pedestrian fatalities. In this paper, we develop SaferCross, a mobile system based on the embedded sensors of smartphone to ...
Eun, Yongsoon, Park, Kyung-Joon, Shrestha, Aawesh, Won, Myounggyu   +3 more
core   +2 more sources

Where, how, and how much? A multicenter cohort study of the relationship between lupus decision aid modality, place of administration, interruption and viewing completeness and patient‐reported outcomes

Arthritis Care &Research, Accepted Article.
Objective We assessed whether shared decision‐making (SDM), and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE), differs by PtDA setting, modality, and the viewing experience.
Jasvinder A. Singh, Mark Beasley, Larry R. Hearld, for the Implementing DEcision‐Aid for Lupus in clinics (IDEAL) Consortium   +3 more
wiley   +1 more source

Smartphone security [PDF]

, 2017
According to eMarketer researchers, the total number of smartphones in active use on the planet exceeded the 2 billion unit in 2016 and amounted up to 2.16 billion against 1.9 billion in 2015 and 1.6 billion devices in 2014.
Mamienko, Sergey, Mieshkov, V.I., Zuyenok, I.І.   +2 more
core  

Impact of smartphone notification display choice in a typing task [PDF]

, 2015
External displays have the potential to make smartphone notifications less obtrusive when a user has committed their attention to a primary task. We compare six notification displays, and evaluate the impact that negotiating smartphone interruptions ...
Murray-Smith, Roderick, Norrie, Lauren
core   +1 more source

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir, Miaoning Ren, Sami Pekdemir, Mustafa Kalay, Nilgun Kayaci, Nail Gunaltay, Hakan Usta, Xian Huang, Mustafa Serdar Onses   +8 more
wiley   +1 more source

Evaluation of High School Students’ Smartphone Addiction and Insomnia Level

Türk Uyku Tıbbı Dergisi, 2020
Objective:To determine the frequency of smartphone addiction among high school students using smart phones and the severity of insomnia.Materials and Methods:This cross-sectional study was performed between April and June 2019 and included high school ...
Özlem Çağan, Bennur Koca
doaj   +1 more source

Validation of smartphone step count algorithm used in STARFISH smartphone application [PDF]

, 2017
BACKGROUND: Smartphone sensors are underutilised in rehabilitation. OBJECTIVE: To validate the step count algorithm used in the STARFISH smartphone application. METHODS: Twenty-two healthy adults (8 male, 14 female) walked on a treadmill for 5 minutes at
Abel, Ambusam, Bohnen, Dahlgren, del Rosario, Esliger, Evenson, Feng, Kooiman, Lee, Orr, Paul, Paul, Perry, Remelius, Ryan, Storm, Sun, Tremblay, Zhang   +19 more
core   +2 more sources