Results 51 to 60 of about 107,337 (260)
Identification of Walker Identity Using Smartphone Sensors: An Experiment Using Ensemble Learning
IEEE Access, 2020 Nowadays MEMS sensors, like accelerometers, gyroscopes, and magnetometers, are spreading in a wide range of applications, because of their small size, cheapness and increasing performance.
Antonio Angrisano +4 more
doaj +1 more source
Transportation Modes Classification Using Sensors on Smartphones [PDF]
Sensors, 2016 This paper investigates the transportation and vehicular modes classification by using big data from smartphone sensors. The three types of sensors used in this paper include the accelerometer, magnetometer, and gyroscope. This study proposes improved features and uses three machine learning algorithms including decision trees, K-nearest neighbor, and ...
Shih-Hau Fang +6 more
openaire +3 more sources
Tourism and the smartphone app: capabilities, emerging practice and scope in the travel domain. [PDF]
, 2012 Based on its advanced computing capabilities and ubiquity, the smartphone has rapidly been adopted as a tourism travel tool.With a growing number of users and a wide varietyof applications emerging, the smartphone is fundamentally altering our current ...
Bærenholdt J. O. +15 more
core +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
MicromachinesThe demand for rapid, portable, and cost-effective analytical tools has driven advances in smartphone-based microfluidic sensors. By combining microfluidic precision with the accessibility and processing power of smartphones, these devices offer real ...
Tadsakamon Loima +2 more
doaj +1 more source
Big Data Mining and Analytics, 2021 This study proposes an intelligent data analysis model for finding optimal patterns in human activities on the basis of biometric features obtained from four sensors installed on smartphone and smartwatch devices.
Samaher Al-Janabi, Ali Hamza Salman
doaj +1 more source
Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches
, 2019 Physical activity recognition (PAR) using wearable devices can provide valued information regarding an individual's degree of functional ability and lifestyle.
A Bulling +14 more
core +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS
Sensors, 2012 Smartphone positioning is an enabling technology used to create new business in the navigation and mobile location-based services (LBS) industries. This paper presents a smartphone indoor positioning engine named HIPE that can be easily integrated with ...
Heidi Kuusniemi +4 more
doaj +1 more source
Human Physical Activity Recognition Using Smartphone Sensors. [PDF]
Sensors (Basel), 2019 Because the number of elderly people is predicted to increase quickly in the upcoming years, “aging in place” (which refers to living at home regardless of age and other factors) is becoming an important topic in the area of ambient assisted living.
Voicu RA +3 more
europepmc +5 more sources