Relevant bibliographies by topics / Smartphone sensor integration

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Smartphone sensor integration'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Smartphone sensor integration"

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Raharja, Endra Putra, Mustika Irianti, Ristya Dewi Lestari, Catharina Marcelia Londong, and Sahfitri Mudumi. "Analyzing Physics Experiment using Sensor Smartphone in Traveling Carnival." Jurnal Penelitian Pendidikan IPA 10, no. 3 (2024): 1247–54. http://dx.doi.org/10.29303/jppipa.v10i3.6792.

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Smartphone integration for high school students has significant potential in physics learning. This research aims to analyze smartphone sensor data in the context of physics experiments carried out at traveling carnivals. This research uses experimental methods to compare smartphone sensor data collected via the Phyphox application with video analysis data obtained using Tracker software. The research results show the effectiveness of smartphone sensors in several carnival games, including simple leg swings, bicycle spins, kora-kora vehicles, and merry-go-rounds. Smartphone sensors can show gr
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Janicka, Joanna, and Wioleta Błaszczak-Bąk. "Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud." Reports on Geodesy and Geoinformatics 119, no. 1 (2025): 14–22. https://doi.org/10.2478/rgg-2025-0003.

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Abstract Smartphones with Light Detection and Ranging (LiDAR) sensors are increasingly used for engineering measurements. Although the processing of the acquired point clouds seems similar to the processing of point clouds measured with, for example, a terrestrial laser scanner, processing data from a smartphone requires a special approach, first of all, when it comes to methods of obtaining and registering point clouds to obtain one complete metric point cloud. The research consisted of comparing various scenarios of measuring using a smartphone with a LiDAR sensor (a smartphone held in hand,
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Zhao, Boxin, Xiaolong Chen, Xiaolin Zhao, Jun Jiang, and Jiahua Wei. "Real-Time UAV Autonomous Localization Based on Smartphone Sensors." Sensors 18, no. 12 (2018): 4161. http://dx.doi.org/10.3390/s18124161.

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Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sensor has low accuracy and the phone storage and computing resources are limited, which make the traditional localization methods unable to be readily converted to smartphone-based ones. The paper aims at exploring the feasibility of the phone sensors, and presenting a real-time, less memory autonomous
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Chiang, Kai-Wei, Dinh Thuan Le, Thanh Trung Duong, and Rui Sun. "The Performance Analysis of INS/GNSS/V-SLAM Integration Scheme Using Smartphone Sensors for Land Vehicle Navigation Applications in GNSS-Challenging Environments." Remote Sensing 12, no. 11 (2020): 1732. http://dx.doi.org/10.3390/rs12111732.

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Modern smartphones contain embedded global navigation satellite systems (GNSSs), inertial measurement units (IMUs), cameras, and other sensors which are capable of providing user position, velocity, and attitude. However, it is difficult to utilize the actual navigation performance capabilities of smartphones due to the low-cost and disparate sensors, software technologies adopted by manufacturers, and the significant influence of environmental conditions. In this study, we proposed a scheme that integrated sensor data from smartphone IMUs, GNSS chipsets, and cameras using an extended Kalman f
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Bautista, Nicolas, Hector Gutierrez, John Inness, and John Rakoczy. "Precision Landing of a Quadcopter Drone by Smartphone Video Guidance Sensor in a GPS-Denied Environment." Sensors 23, no. 4 (2023): 1934. http://dx.doi.org/10.3390/s23041934.

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This paper describes the deployment, integration, and demonstration of a Smartphone Video Guidance Sensor (SVGS) as a novel technology for autonomous 6-DOF proximity maneuvers and precision landing of a quadcopter drone. The proposed approach uses a vision-based photogrammetric position and attitude sensor (SVGS) to estimate the position of a landing target after video capture. A visual inertial odometry sensor (VIO) is used to provide position estimates of the UAV in a ground coordinate system during flight on a GPS-denied environment. The integration of both SVGS and VIO sensors enables the
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Silva Cotta, Joao Leonardo, Hector Gutierrez, Ivan R. Bertaska, John P. Inness, and John Rakoczy. "High-Altitude Precision Landing by Smartphone Video Guidance Sensor and Sensor Fusion." Drones 8, no. 2 (2024): 37. http://dx.doi.org/10.3390/drones8020037.

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This paper describes the deployment, integration, and demonstration of the Smartphone Video Guidance Sensor (SVGS) as novel technology for autonomous 6-DOF proximity maneuvers and high-altitude precision landing of UAVs via sensor fusion. The proposed approach uses a vision-based photogrammetric position and attitude sensor (SVGS) to support the precise automated landing of a UAV from an initial altitude above 100 m to ground, guided by an array of landing beacons. SVGS information is fused with other on-board sensors at the flight control unit to estimate the UAV’s position and attitude durin
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Friad Qadr, Runahi, Halgurd S. Maghdid, and Azhin T. Sabir. "Novel Integration of Wi-Fi Signal and Magnetometer Sensor Measurements in Fingerprinting Technique for Indoors Smartphone positioning." ITM Web of Conferences 42 (2022): 01016. http://dx.doi.org/10.1051/itmconf/20224201016.

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Smartphones are becoming more widespread, and location-based services (LBS) have become one of the most important uses in people’s daily lives. While outdoor location is reasonably simple thanks to GNSS signals, however, indoor location is more problematic due to the lack of GNSS signals. As a result of the widespread deployment of alternative technologies such as wireless and sensors technologies, various studies on wireless-based indoor positioning have been conducted. However, each technology has its own limitations including multipath fading of wireless signals causes time-varying received
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Akbar, Firman Aulia, Mega Tri Kurnia, and Frencis Matheos Sarimole. "Rancang Bangun Purwarupa Alat Pencitraan Gerak Model Gestur Berbasis Mikrokontroler Arduino." Sistem Komputer dan Teknologi Intelegensi Artifisial (SIKOMTIA) 1, no. 3 (2023): 221–26. http://dx.doi.org/10.59039/sikomtia.v1i3.22.

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In the era of rapidly developing technology, the integration between body and technology becomes real, especially in the development of human and computer interaction. This research focuses on creating prototypes of motion imaging tools using microcontroller technology, responding to the need for more intuitive interactive tools in translating human movements. Using hardware and software engineering approaches, this study designed and tested a tool consisting of Gyrometer and Flex sensors. The gyrometer measures the orientation of motion, while the Flex sensor detects the curvature of the gest
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Lazaro, Antonio, Ramon Villarino, Marc Lazaro, Nicolau Canellas, Beatriz Prieto-Simon, and David Girbau. "Recent Advances in Batteryless NFC Sensors for Chemical Sensing and Biosensing." Biosensors 13, no. 8 (2023): 775. http://dx.doi.org/10.3390/bios13080775.

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This article reviews the recent advances in the field of batteryless near-field communication (NFC) sensors for chemical sensing and biosensing. The commercial availability of low-cost commercial NFC integrated circuits (ICs) and their massive integration in smartphones, used as readers and cloud interfaces, have aroused great interest in new batteryless NFC sensors. The fact that coil antennas are not importantly affected by the body compared with other wireless sensors based on far-field communications makes this technology suitable for future wearable point-of-care testing (PoCT) devices. T
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Wei, Qingshan. "(Invited) Smartphone Diagnostics Meets CRISPR." ECS Meeting Abstracts MA2023-02, no. 63 (2023): 2970. http://dx.doi.org/10.1149/ma2023-02632970mtgabs.

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Smartphone-based optical imaging and sensing devices are among the next-generation biosensors that have shown great potential to transform the field of point-of-care (POC) diagnostics. With the rapid improvement of hardware (e.g., lens, image sensor, and CPU), smartphone has become a transformative microscopy and sensing platform that can support various detection or biomedical measurement applications, especially for resource-limited settings. On the other side, smartphone diagnostics can maximize its potential for early disease detection by coupling with specific molecular assays, such as nu
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Dissertations / Theses on the topic "Smartphone sensor integration"

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Amato, Alexei. "Rischi di privacy connessi ai sensori integrati negli smartphone." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17282/.

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L'elaborato presenta i rischi collegati all'uso dei sensori installati sugli smartphone. Tramite applicazioni maligne, qualcuno potrebbe accedere ai dati rilevati dai sensori per tentare di localizzare la vittima senza l'utilizzo del GPS. Inizialmente, vengono presentati gli studi correlati alla tematica, a differenza di questi nell'elaborato verrà utilizzata una simulazione dello scenario reale. Il modello utilizzato per la simulazione utilizza algoritmi di visita e ricerca sui grafi, implementati in linguaggio Python. Successivamente, vengono mostrati le analisi effettuate, utilizzando div
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Montoya, David. "Une base de connaissance personnelle intégrant les données d'un utilisateur et une chronologie de ses activités." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLN009/document.

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Aujourd'hui, la plupart des internautes ont leurs données dispersées dans plusieurs appareils, applications et services. La gestion et le contrôle de ses données sont de plus en plus difficiles. Dans cette thèse, nous adoptons le point de vue selon lequel l'utilisateur devrait se voir donner les moyens de récupérer et d'intégrer ses données, sous son contrôle total. À ce titre, nous avons conçu un système logiciel qui intègre et enrichit les données d'un utilisateur à partir de plusieurs sources hétérogènes de données personnelles dans une base de connaissances RDF. Le logiciel est libre, et s
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Book chapters on the topic "Smartphone sensor integration"

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McCloskey, Scott. "Computational Imaging." In Multimedia Forensics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7621-5_3.

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AbstractSince the advent of smartphones, photography is increasingly being done with small, portable, multi-function devices. Relative to the purpose-built cameras that dominated previous eras, smartphone cameras must overcome challenges related to their small form factor. Smartphone cameras have small apertures that produce a wide depth of field, small sensors with rolling shutters that lead to motion artifacts, and small form factors which lead to more camera shake during exposure. Along with these challenges, smartphone cameras have the advantage of tight integration with additional sensors
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Depari, A., C. M. De Dominicis, A. Flammini, S. Rinaldi, and A. Vezzoli. "Integration of Bluetooth HandsFree Sensors into a Wireless Body Area Network Based on Smartphone." In Lecture Notes in Electrical Engineering. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3860-1_97.

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Kumar, Praveen, Akshay Kapoor, Muthukumar Raghunathan, and Neeraj Kumar Gupta. "Point-of-care Devices for Food Safety Analysis." In Sensor Technologies for Food Quality and Safety. Royal Society of Chemistry, 2025. https://doi.org/10.1039/9781837674787-00272.

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Point-of-care (POC) devices have become indispensable tools for swift and on-site food safety analysis, revolutionizing conventional methods that often involve time-consuming laboratory processes. Recently, public concern over food safety issues has heightened, emphasizing the crucial importance of food safety analysis in safeguarding health. While traditional techniques like high-performance liquid chromatography and mass spectrometry have historically been employed for detecting food contaminants, their relatively high cost, time intensiveness, and labor requirements hinder their applicabili
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Sreenan, Benjamin, Alim Gulbag, Vala Kafil, Gita Kharal, Bryan Lee, and Xiaoshan Zhu. "Smartphone-based Devices for Biomarkers." In Sensing Materials and Devices for Biomarkers. Royal Society of Chemistry, 2024. https://doi.org/10.1039/9781837673230-00191.

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Over the last decade, smartphone technology has advanced to an extraordinary extent. This has introduced novel capabilities to these hand-held devices, such as the conceptualization of mobile health, which has been made possible via the integration of high-quality camera lenses, heart-rate sensors, accelerometers, and fingerprint/facial recognition scanners into modern smartphones. These features, alongside their powerful multi-core processors, ample memory and storage, long battery life, and user-friendly interface, enable modern smartphones with significant potential for other medical applic
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AW. Almorish, Mohammed. "Perspective Chapter: Recent Developments in the Diagnosis of Sickle Cell Disease." In Inherited Blood Disorders - Advances in Diagnosis and Treatment [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1007186.

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Sickle cell disease (SCD) is a prevalent disorder resulting from a beta-globin gene mutation, causing the production of abnormal hemoglobin known as hemoglobin S. The disease can manifest with sickled cells, leading to hemolysis, anemia, painful episodes, organ damage, and potentially death. The timely identification of SCD is pivotal in diminishing mortality rates and facilitating effective disease management. Consequently, a variety of methodologies have been formulated to identify SCD and carrier states with elevated sensitivity and specificity. These methodologies encompass screening asses
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Zubov, Dmytro. "A Case Study on the Spatial Cognition of Surrounding Objects by the B&VI People Using Sound Patterns and Ultrasonic Sensing." In Emerging Trends and Applications of the Internet of Things. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2437-3.ch004.

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In this paper, two assistive projects on the spatial cognition by blind and visually impaired (B&VI) people are presented using the sound patterns and ultrasonic sensing. The first device supports the sport activities of B&VI, the golf game specifically. Every golf flagstick has the sound marking device with the active buzzer and WiFi remote control by the person with good vision. The NodeMcu Lua ESP8266 ESP-12 WiFi boards in devices are controlled by the cross-platform HTML web-sites, and hence any WiFi smartphone and / or computer can be in use to start the HTML web-page. Mini portab
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Nancy, Dr W., D. Jayasri, P. Abinayashree, et al. "WEARABLE SMART SYSTEM FOR VISUALL IMPAIRED PEOPLE." In Artificial Intelligence and Machine Learning in Smart Wearables. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennuraimlsw6.

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Wearable smart systems, leveraging Artificial Intelligence (AI) and Internet of Things (IoT), empower visually impaired individuals with greater independence and safety. Integrating sensors, cameras, and AI, these devices detect obstacles, identify objects, and provide real- time feedback. Ultrasonic sensors and depth cameras gather environmental data, enabling navigation through crowded spaces and hazard avoidance. Assistive Technology features like voice prompts and tactile alerts ensure discreet guidance. Bluetooth and GPS connectivity integrate with smartphones for turn-by-turn navigation
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Malik, Indu, Arpit Bhardwaj, Harshit Bhardwaj, and Aditi Sakalle. "IoT-Enabled Smart Homes." In Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4991-2.ch008.

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The smart home achieved commerciality in the previous decades because it has increased comfort and quality of human life. Using AI and IoT technology, humans get notifications about the unplaced (not having or assigned to a specific place) things or devices at home. In this chapter, the authors introduce the concept of a smart home with the integration of IoT (internet of things), cloud, and AI. A smart home can be controlled by smartphones, tablets, or PC. The smart home is a collection of smart devices; smart devices have sensors and actuators. All these devices are connected, and they are c
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Retscher, Guenther, and Allison Kealy. "Navigation Based on Sensors in Smartphones." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3528-7.ch009.

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With the increasing ubiquity of smartphones and tablets, users are now routinely carrying a variety of sensors with them wherever they go. These devices are enabling technologies for ubiquitous computing, facilitating continuous updates of a user's context. They have built-in MEMS-based accelerometers for ubiquitous activity monitoring and there is a growing interest in how to use these together with gyroscopes and magnetometers to build dead reckoning (DR) systems for location tracking. Navigation in complex environments is needed mainly by consumer users, private vehicles, and pedestrians. T
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Manoj, Adusumalli Sai, Mohammed Ali Hussain, and Paleti Surya Teja. "Patient Health Monitoring Using IoT." In Advances in Healthcare Information Systems and Administration. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8021-8.ch002.

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In today's world, health is one of the vital issues to solve through wireless communication technology. It should be efficient in terms of cost and reliable communication with suitable protocols. To monitor the health conditions of a patient, a mobile care system can be designed with the help of wireless sensor network using IoT. This can be done by integrating different sensors to sense physiological data from a human body and then transmit the data to a remote healthcare cloud through a smartphone as an interface. All the vital signs monitored are portable and will have the ability of short-
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Conference papers on the topic "Smartphone sensor integration"

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Wang, Yingjie, and Ruimin Hu. "Sensor-Based Authentication on Smartphones via Integrating Auxiliary Information." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831357.

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Trehard, Guillaume, Mehdi Boukallel, and Sylvie Lamy-Perbal. "Indoor pedestrian localisation solution based on anemometry sensor integration with a smartphone." In 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2012. http://dx.doi.org/10.1109/ipin.2012.6418909.

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Harke, Kelly, and Kyle O’Keefe. "Gyroscope Drift Estimation of a GPS/MEMSINS Smartphone Sensor Integration Navigation System for Kayaking." In 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022). Institute of Navigation, 2022. http://dx.doi.org/10.33012/2022.18324.

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Dhohada, Cheruku, and Konatham Sumalatha. "Advancements in Human Activity Recognition: A comprehensive Review of Smartphone and Wearable Sensor Integration." In 2024 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2024. http://dx.doi.org/10.1109/icict60155.2024.10544460.

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Hsu, Li-Ta, Yanlei Gu, and Shunsuke Kamijo. "Sensor integration of 3D map aided GNSS and smartphone PDR in urban canyon with dense foliage." In 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2016. http://dx.doi.org/10.1109/plans.2016.7479686.

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Oprea, Marin. "INTEGRATION OF ROBOTICS PROJECTS IN THE PRE-UNIVERSITY EDUCATIONAL ENVIRONMENT." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-109.

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Our students must be prepared for the jobs of the future: smart home developer, specialist in human-robot interaction, augmented reality architect etc. They need to be encouraged to explore more, discover and understand how things work around them. Their training must be supported by Internet of Things (IoT), Robotics and Artificial Intelligence (AI) courses. These courses are part of the STEM educational model aimed to the integrated approach of Science, Technology, Engineering and Mathematics. The integration of these courses into school curriculum of pre-university education becomes a neces
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Gonsher, Ian, Adriana Salazar, Shrey Mehta, et al. "The Smart Cane Project: Integrating Screen Interfaces and Physiological Sensors into Mobility Devices." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004383.

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Integrating sensors and screen interfaces directly into mobility devices offers individuals living with mobility issues, and medical providers, the opportunity to monitor health data and offer patient-specific therapeutic feedback in real time. This paper presents a series of prototypes that were developed in order to assess how these features can be optimally integrated into common mobility devices such as the walking cane. The early prototypes explored strategies for mounting a smartphone to a cane, as a low-cost strategy for improving mobility and reducing isolation by making use of smartph
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Chollet, Gérard, Hugues Sansen, Yannis Tevissen, et al. "Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and beyond." In Human Interaction and Emerging Technologies (IHIET-AI 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004577.

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In the age of personal voice assistants, we have witnessed the proliferation of "personal" vocal companions across smartphones, smart speakers, and other smart devices. Yet, the question arises: Are these virtual assistants genuinely "personal"? The answer may surprise you. Most of these digital companions lack the ability to remember past interactions or truly understand who you are. They heavily rely on an internet connection to process your spoken words in remote servers. Even though users provide informed consent for these interactions, concerns linger regarding potential misuse of speech
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Vaughn, Amari, Paul Biocco, Yang Liu, and Mohd Anwar. "Activity Detection and Analysis Using Smartphone Sensors." In 2018 IEEE International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2018. http://dx.doi.org/10.1109/iri.2018.00022.

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Aloi, Gianluca, Giuseppe Caliciuri, Giancarlo Fortino, and Pasquale Pace. "A smartphone-centric approach for integrating heterogeneous sensor networks." In 9th International Conference on Body Area Networks. ICST, 2014. http://dx.doi.org/10.4108/icst.bodynets.2014.257007.

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