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Ubiquitous human perception for real-time gender estimation

Anara Sandygulova, David Swords, Sameh Abdalla, Mauro Dragone, Gregory M. P. O'Hare
2013 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)  
This system combines ubiquitous smart sensing, methods of multi-modal human perception and existing human recognition algorithms from the field of biometrics to collectively work towards a real-time, robust  ...  This paper presents a robotic system that exploits the advantages of ubiquitous perception in order to gather knowledge from multiple sensors and various modalities.  ...  Acknowledgement This work has been supported by the Irish Research Council "Embark Initiative", in conjunction with funding from the EU FP7 RUBICON project (contract n. 269914), and Science Foundation  ... 
doi:10.1109/urai.2013.6677485 dblp:conf/urai/SandygulovaSADO13 fatcat:zzf2wg3iejg5tnsmkfmyd72w5i

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Mostafa Ahmed Ezzat, Mohamed A. Abd El Ghany, Sultan Almotairi, Mohammed A.-M. Salem
2021 Sensors  
The automation strategy of today's smart cities relies on large IoT (internet of Things) systems that collect big data analytics to gain insights.  ...  In this paper, we discuss the latest datasets used, the algorithms used, and the recent advances in embedded systems to form edge vision computing are introduced.  ...  The end-users simply use multiple applications once the data are stored on the cloud, such as people counting, crowd estimation, action recognition, age and gender estimation, vehicle estimation and vehicle  ... 
doi:10.3390/s21093222 pmid:34066509 fatcat:27lploodmvdl3k36x4jzw2acly

Stabilization of Magnified Videos on a Mobile Device for Visually Impaired

Zewen Li, Shrinivas Pundlik, Gang Luo
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops  
As digital zoom normally cannot provide sufficient magnification for distant objects, optical telescopic devices attached to the smart phone cameras can be used to increase magnification power.  ...  Many apps have been developed to turn a smart phone into a handy video magnifier using digital zoom.  ...  Video stabilization particularly helped the visually impaired subjects improve the letter recognition performance as seen from the data.  ... 
doi:10.1109/cvprw.2013.15 dblp:conf/cvpr/LiPL13 fatcat:i4qeo26umrat7npc4lynkv34ou

Use of the Smart Store for Persuasive Marketing and Immersive Customer Experiences: A Case Study of Korean Apparel Enterprise

Hyunwoo Hwangbo, Yang Sok Kim, Kyung Jin Cha
2017 Mobile Information Systems  
Furthermore, we present a case study of a business that applies the smart store concept to its fashion retail shops in Korea.  ...  This paper aims to summarize discussions related to smart stores and their possible applications in a real business environment.  ...  Smart pads and wearable devices provided to employees in stores are used to provide real time trigger to customers by gathering information from smart CCTV, smart hangers, and smart displays and processing  ... 
doi:10.1155/2017/4738340 fatcat:cx22si3kevgonet4dcif34npcu

Special issue on smart cameras for real-time image and video processing

Caifeng Shan, Victor Manuel Brea, Senem Velipasalar
2020 Journal of Real-Time Image Processing  
, multiple object tracking, face attribute recognition, human detection, image retrieval, and energy-efficient design of smart cameras.  ...  a wealth of other smart devices, and of course the Internet.  ...  a wealth of other smart devices, and of course the Internet.  ... 
doi:10.1007/s11554-020-01006-6 fatcat:d3g5hvg5q5hzzfqqj3zbpb4tre

Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts

Mohammad Masoud, Yousef Jaradat, Ahmad Manasrah, Ismael Jannoud
2019 Journal of Sensors  
In this work, we attempt to review the process of inferring meaningful data from smart devices' sensors, especially, smartphones.  ...  Smart device industry allows developers and designers to embed different sensors, processors, and memories in small-size electronic devices.  ...  Motion Sensors. Three main sensors are embedded in modern smart devices for motion detection: accelerometer, gyroscope, and magnetometer.  ... 
doi:10.1155/2019/6514520 fatcat:lxlva7xfbra7flwt6jby7dc5xy

Classification Algorithms In Human Activity Recognition Using Smartphones

Mohd Fikri Azli Bin Abdullah, Ali Fahmi Perwira Negara, Md. Shohel Sayeed, Deok-Jai Choi, Kalaiarasi Sonai Muthu
2012 Zenodo  
Recognizing human activity has garnered a lot of interest and has raised significant researches- concerns in identifying contextual information useful to human activity recognition.  ...  In this paper, we will discuss the classification algorithms used in smartphone-based human activity.  ...  Human activity recognition in smart homes mainly employs contexts' identification and recognition from multimodal features using multiple types of sensors.  ... 
doi:10.5281/zenodo.1071040 fatcat:oxawccjwijh3zfienzluqzj7ti

HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors

Koray Açıcı, Çağatay Berke Erdaş, Tunç Aşuroğlu, Hasan Oğul
2018 Data  
Here, we offer a solution to the problem with a set of multiple motion sensors worn on the wrist.  ...  Second, we present an evaluation of recent computational methods for two relevant tasks: activity recognition and person identification from hand movements.  ...  This wearable device mitigated a smart watch that potentially embedded similar motion sensors.  ... 
doi:10.3390/data3030024 fatcat:3dk4htrvjfdf3ejqf2jt7yfsba

Intelligent Dumbbell Based on Multiple Sensors

Yang Liu, Chun-Liang Hsu
2020 Sensors and materials  
However, traditional fitness equipment can be boring and inflexible in its use and does not enable the recording of fitness data, making it difficult for people to monitor fitness data and manage their  ...  As small fitness equipment, dumbbells are suitable for people of different ages, genders, and physical fitness levels.  ...  (2) n the recognition of wearable sensor motion status, motion status data are collected by attaching wearable sensor devices on people, including acceleration sensors, gyroscopes, and heart rate monitoring  ... 
doi:10.18494/sam.2020.2779 fatcat:e2vac43zdjhzjki5qncnoztrei

Analysis of Smart Home Technology Acceptance and Preference for Elderly in Dubai, UAE

Mohammad Arar, Chuloh Jung, Jihad Awad, Afaq Hyder Chohan
2021 Designs  
As a methodology, a survey and interview were conducted for 110 people in their 40s and 60s and a total of 105 valid survey responses were collected and used as data for frequency, mean, cross-analysis  ...  In the case of sensors, elderly preferred the switch at the entrance (36.2%), and motion detecting sensors (42.9%), video cameras (56.2%), and voice recognition (50.5%) sensors in the living room.  ...  A total of 105 questionnaires were collected and used as data, and frequency, mean, cross-analysis, independent sample t-test, one-way variance analysis, and multiple regression analysis were performed  ... 
doi:10.3390/designs5040070 fatcat:f4jrvwrjy5a5pkht5owecbh5py

A Review of the Recent Developments in Integrating Machine Learning Models with Sensor Devices in the Smart Buildings Sector with a View to Attaining Enhanced Sensing, Energy Efficiency, and Optimal Building Management

Dana-Mihaela Petroșanu, George Căruțașu, Nicoleta Luminița Căruțașu, Alexandru Pîrjan
2019 Energies  
Lately, many scientists have focused their research on subjects like smart buildings, sensor devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence in the smart  ...  Our approach provides a useful up-to-date overview for researchers from different fields, which can be helpful when submitting project proposals or when studying complex topics such those reviewed in this  ...  The performance metrics chosen by the authors of the papers focusing on Deep Learning techniques integrated with sensor devices in smart buildings included Confusion Matrices and F1 Accuracy [18] ; Overall  ... 
doi:10.3390/en12244745 fatcat:eix222pupjcmddolute2qh4wia

Towards a smart retail environment

Antonella Di Rienzo, Franca Garzotto, Paolo Cremonesi, Cristina Frà, Massimo Valla
2015 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers - UbiComp '15  
, smart watches, touch screens, etc.), offering new interaction methods to virtually present to users personalized products information.  ...  Over the last decades, the advancements in digital technologies pervasiveness increasingly transformed regular physical spaces in smart ambients, where humans and objects are seamlessly hyper-connected  ...  Acknowledgements This work is partially funded by the EC Commission through EIT Digital "HII Street Smart Retail" Activity and by Telecom Italia S.p.A., Open Innovation Department, Joint Open Lab S-Cube  ... 
doi:10.1145/2800835.2807955 dblp:conf/huc/RienzoGCFV15 fatcat:jr2cm4ujh5a2bocymqntdkdwbm

Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data

Tobias Nef, Prabitha Urwyler, Marcel Büchler, Ioannis Tarnanas, Reto Stucki, Dario Cazzoli, René Müri, Urs Mosimann
2015 Sensors  
For this purpose, we installed passive infrared (PIR) sensors to detect motion in a specific area inside a smart apartment and used them to collect a set of ADL.  ...  To improve the activity recognition accuracy, our system preprocessed raw sensor data by identifying overlapping activities.  ...  With data from the PIR motion sensors, periods without any activity in the flat were detected.  ... 
doi:10.3390/s150511725 pmid:26007727 pmcid:PMC4481906 fatcat:ez6w2vy2xvbvjcmdxy3qiyr3a4

A New Intelligent Approach for Deaf/Dumb People based on Deep Learning

Haitham Elwahsh, Ahmed Elkhouly, Emad Abouel Nasr, Ali K. Kamrani, Engy El-shafeiy
2022 Computers Materials & Continua  
The data obtained from the gloves was processed using deep-learning-based approaches and classified multi-mode commands that allow dumb people to speak with regular people via their smart phone.  ...  People who are deaf or have difficulty speaking use sign language, which consists of hand gestures with particular motions that symbolize the "language" they are communicating.  ...  [19] proposed a real-time gesture recognition system that classifies 11 motions using a data glove, and the recognition result was 100 percent accurate.  ... 
doi:10.32604/cmc.2022.026309 fatcat:nodx3ljlmjgklhqtu2ftdoal3a

Paper titles

2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
Signals from A Portable ECG Acquisition Device Image Retrieval with Data Augmentation of Sentence Labels Based on ParaphrasingImage-based Skin Temperature and Pulse Rate Measuring System Image-Enhancement-Based  ...  Environment and Location Data Indoor Positioning Method for Smart Mobile Device Based on Fuzzy Wi-Fi Fingerprint Influence of Radio Waves Generated by XBee Module on GPS Positioning Performance Influence  ... 
doi:10.1109/icce-taiwan49838.2020.9258179 fatcat:2eheaztzhncixhbvp7nrbzml4m
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