AIMC Topic: Smartphone

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Transportation Mode Detection Combining CNN and Vision Transformer with Sensors Recalibration Using Smartphone Built-In Sensors.

Sensors (Basel, Switzerland) Aug 26, 2022
Transportation Mode Detection (TMD) is an important task for the Intelligent Transportation System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and effective solution. In recent years, many studies have focused on TMD,...
Neural Networks, Computer Smartphone Transportation
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A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions.

Sensors (Basel, Switzerland) Aug 12, 2022
In this study, we propose a new model for optical character recognition (OCR) based on both CNNs (convolutional neural networks) and RNNs (recurrent neural networks). The distortions affecting the document image can take different forms, such as blur...
Smartphone Deep Learning Neural Networks, Computer
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Android Spyware Detection Using Machine Learning: A Novel Dataset.

Sensors (Basel, Switzerland) Aug 2, 2022
Smartphones are an essential part of all aspects of our lives. Socially, politically, and commercially, there is almost complete reliance on smartphones as a communication tool, a source of information, and for entertainment. Rapid developments in th...
Machine Learning Privacy Computer Security Algorithms Smartphone
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Evaluation and comparison of smartphone application tracing, web based artificial intelligence tracing and conventional hand tracing methods.

Journal of stomatology, oral and maxillofacial surgery Jul 26, 2022
AIM: The aim of this study was to compare and evaluate the reliability of three different cephalometric assessment methods: Smartphone Application Tracing Method CephNinja (SATM), Web Based Artificial Intelligence (AI) Driven Tracing Method WebCeph (...
Artificial Intelligence Reproducibility of Results Image Processing, Computer-Assisted Smartphone Internet Humans
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We got nuts! use deep neural networks to classify images of common edible nuts.

Nutrition and health Jul 21, 2022
BACKGROUND: Nuts are nutrient-dense foods that contribute to healthier eating. Food image datasets enable artificial intelligence (AI) powered diet-tracking apps to help people monitor daily eating patterns.
Artificial Intelligence Diet Neural Networks, Computer Smartphone Mobile Applications Deep Learning Image Processing, Computer-Assisted Humans Arachis Photography Nuts
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Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition.

Biosensors Jul 21, 2022
Many studies have explored divergent deep neural networks in human activity recognition (HAR) using a single accelerometer sensor. Multiple types of deep neural networks, such as convolutional neural networks (CNN), long short-term memory (LSTM), or ...
Walking Heuristics Human Activities Neural Networks, Computer Smartphone Humans
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Development of Smartphone Application for Markerless Three-Dimensional Motion Capture Based on Deep Learning Model.

Sensors (Basel, Switzerland) Jul 14, 2022
To quantitatively assess pathological gait, we developed a novel smartphone application for full-body human motion tracking in real time from markerless video-based images using a smartphone monocular camera and deep learning. As training data for de...
Humans Deep Learning Gait Biomechanical Phenomena Smartphone Motion
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Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.

JMIR mHealth and uHealth Jun 9, 2022
BACKGROUND: Artificial intelligence (AI) has revolutionized health care delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning, to build predictive models for the early detection of diseases. Such...
Telemedicine Smartphone Pandemics Delivery of Health Care Humans Artificial Intelligence
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Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring.

Biosensors Jun 7, 2022
Biomedical images contain a huge number of sensor measurements that can provide disease characteristics. Computer-assisted analysis of such parameters aids in the early detection of disease, and as a result aids medical professionals in quickly selec...
Deep Learning Smartphone Human Activities Humans Neural Networks, Computer Aged
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Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition.

Sensors (Basel, Switzerland) Jun 1, 2022
Driving event detection and driver behavior recognition have been widely explored for many purposes, including detecting distractions, classifying driver actions, detecting kidnappings, pricing vehicle insurance, evaluating eco-driving, and managing ...
Smartphone Neural Networks, Computer Automobile Driving Algorithms
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