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Special Issue on Device-Free Sensing for Human Behavior Recognition II (Addcorr from the editor)

Zhu Wang, Bin Guo, Yanyong Zhang, Daqing Zhang
2021 Personal and Ubiquitous Computing  
to position and orientation estimation, from activity identification to gesture recognition, from environment independent sensing to user independent sensing.  ...  Bu et al. in "TransferSense: Towards Environment Independent and One-shot Wi-Fi Sensing" presents an environment independent and one-shot Wi-Fi sensing framework.  ... 
doi:10.1007/s00779-020-01493-1 fatcat:leh6s4w7ynawpdgyj3uw6znyoy

OPPORTUNITY: Towards opportunistic activity and context recognition systems

Daniel Roggen, Kilian Forster, Alberto Calatroni, Thomas Holleczek, Yu Fang, Gerhard Troster, Alois Ferscha, Clemens Holzmann, Andreas Riener, Paul Lukowicz, Gerald Pirkl, David Bannach (+3 others)
2009 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks & Workshops  
This may mainstream human context and activity recognition in wearable and pervasive computing by removing requirements for a specific deployed infrastructure.  ...  In this paper we introduce the newly started European research project OPPORTUNITY within which we develop mobile opportunistic activity and context recognition systems.  ...  The main research efforts address the components for an infrastructure-free opportunistic sensing system, optimized for human activity and context recognition.  ... 
doi:10.1109/wowmom.2009.5282442 dblp:conf/wowmom/RoggenFCHFTFHRLPBKCM09 fatcat:argnl7hsargddnxzvzlmm2v7vu

Recent Advances and Challenges in Ubiquitous Sensing [article]

Stephan Sigg and Kai Kunze and Xiaoming Fu
2015 arXiv   pre-print
Ubiquitous sensing is tightly coupled with activity recognition. This survey reviews recent advances in Ubiquitous sensing and looks ahead on promising future directions.  ...  Compared to previous environmental sensing approaches, these new systems mitigate high installation and placement cost by providing a robustness towards process noise.  ...  In addition, the authors compared several device-free recognition techniques and also accelerometerbased recognition with the result that the active and passive device-free and continuous signal based  ... 
arXiv:1503.04973v1 fatcat:hqebr5ttirfsra6srqyxyo36b4

RF-Eletter: A cross-domain English letter recognition system based on RFID

Zhixiong Yang, Xu Liu, Zijian Li, Bo Yuan, Yajun Zhang
2021 IEEE Access  
Gesture recognition through wireless signals denotes a novel branch of human perception.  ...  As the basis of human-computer interaction (HCI), gesture recognition interprets userperformed gestures as commands, followed by the content execution expressed by users' gestures.  ...  In this vein, a device-free, fine-grained, and domain-independent (different environments and users) gesture recognition system named RF-Eletter was designed.  ... 
doi:10.1109/access.2021.3128293 fatcat:dwxaavh4sncp7ljjbzbmm2llva

Towards fully domain‐independent gesture recognition using COTS WiFi device

Yuqing Yin, Zixin Zhang, Xu Yang, Faren Yan, Qiang Niu
2021 Electronics Letters  
features and realising fully domain-independent gesture recognition.  ...  This letter proposes a fully domain-independent WiFi-based gesture recognition system based on the multi-label adversarial network.  ...  EI proposes an environment-independent activity recognition, which can only remove environmental information without considering other domain factors.  ... 
doi:10.1049/ell2.12097 fatcat:ptuuay4urjc5xnh5oqllrq4zcq

Gestures in Assisted Living Environments [chapter]

Dimitra Anastasiou
2012 Lecture Notes in Computer Science  
This paper is concerned with multimodal assisted living environments. The research of ambient assisted living is to provide a safe, healthy, and independent lifestyle at a domestic environment.  ...  We refer to spatial gestures and gesture recognition software and present our contribution related to gestures in the Bremen Ambient Assisted Living Lab, a 60m 2 apartment suitable for the elderly and  ...  In summary, our research aims towards a speech-to-speech translation system based on free and open source software; this system will enable multilingual dialogue in human-computer interaction.  ... 
doi:10.1007/978-3-642-34182-3_1 fatcat:jrn42fwrnrgnnph37m6qg7r4jm

An Investigation of the Free Energy Principle for Emotion Recognition

Daphne Demekas, Thomas Parr, Karl J. Friston
2020 Frontiers in Computational Neuroscience  
The underlying hypothesis is that emotion recognition and inference devices will evolve from state-of-the-art deep learning models into active inference schemes that go beyond marketing applications and  ...  This paper offers a prospectus of what might be achievable in the development of emotional recognition devices.  ...  In fact, the structure of the human brain reflects the structure of its environment, i.e. environmental causes that are statistically independent are encoded in functionally and anatomically separate neuronal  ... 
doi:10.3389/fncom.2020.00030 pmid:32390817 pmcid:PMC7189749 fatcat:k7imzpf76zakjhnjelf5z27ugy

ERmed – Towards Medical Multimodal Cyber-Physical Environments [chapter]

Daniel Sonntag
2014 Lecture Notes in Computer Science  
With our medical application in the context of a cancer screening programme, we are combining active speech based input, passive/active eye tracker user input, and HMD output (all devices are onbody and  ...  This leads to cyber-physicial environments in which the user has an active role to play inside the cyberphysical system.  ...  It is part of MedicalCPS and DFKI's ERmed projects on the BMBF agenda for Embedded Intelligence in Complex Cyber-Physical Environments  ... 
doi:10.1007/978-3-319-07527-3_34 fatcat:ap62zhyrynhdhon7eyivk3pj3u

Human Activity Recognition using Smart Phone Sensors

2019 International journal of recent technology and engineering  
For some connected devices to work more efficiently, human activity data is required.  ...  Our work is an effort in efficient surveillance and using deep learning models, we detect the presence of human activities in different environments and use the data to analyze better to have efficient  ...  Another approach toward sensing the human activity and recognition is based on RFID tag technique.  ... 
doi:10.35940/ijrte.b1082.0782s719 fatcat:ouve2lvxjzbl5e6lcj24nhs7uy

Device-Free Localization for Human Activity Monitoring [chapter]

Shaufikah Shukri, Latifah Munirah Kamarudin, Mohd Hafiz Fazalul Rahiman
2018 Intelligent Video Surveillance [Working Title]  
There exist various solutions of using other technologies for human activity monitoring in a smartly controlled environment, either deviceassisted or device-free.  ...  A radio frequency (RF)-based device-free indoor localization, known as device-free localization (DFL), has attracted a lot of research effort in recent years due its simplicity, low cost, and compatibility  ...  for human activity monitoring as device-free radio-based activity recognition (DFAR) [55] .  ... 
doi:10.5772/intechopen.79442 fatcat:bl7rawg4trebjogaru6ey3qfvq

Activity and Emotion Recognition for Elderly Health Monitoring

2017 International Journal of Affective Engineering  
The problems facing elderly who are living independently, are considered to be one of the most important motivations of the activity recognition research.  ...  This paper lays the theoretical foundations of a real-time methodology for activity and emotional recognition based on body and environment sensors simultaneously, then tackles one aspect of the method  ...  Intelligent house care researches have considered as an objective the resolution of this problem, through what is called Human Activity Recognition (HAR), which can help supporting elderly independent  ... 
doi:10.5057/ijae.ijae-d-17-00020 fatcat:afwekc4f2nbnhozhjeuajiguta

Indian Language Compatible Intelligent User Interfaces [chapter]

Sanghamitra Mohanty
2021 Software Usability [Working Title]  
development of Intelligent User Interfaces to face the society with a demand of smart devices, embedded to the smart environment and dynamic activities.  ...  Implicit Human Computer Interaction to explicit context-dependent knowledge processing to meet the requirements of intelligent human being in the present day situation has provoked scientist towards the  ...  Mohanty, International Journal of Computer Applications, 2011. [20] "Speaker Identification using SVM during Oriya Speech Recognition.", References  ... 
doi:10.5772/intechopen.98525 fatcat:5es6ehgvijdftbn2i6swaju7py

CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies

2018 Computers  
Third, human activity recognition: human activity recognition can be applied in human-computer interaction for remote machine operations.  ...  Fourth, multi-robot collaboration: smart robots will take the place of humans to accomplish most tasks particularly in a harsh environment, and smart and fully-distributed robot collaborating algorithms  ...  The gestures and other activities may be extracted using the CPS devices deployed in the environment. Hence, we survey four issues towards building CPS-based smart warehouses.  ... 
doi:10.3390/computers7010013 fatcat:wa73qiue4jetjf2v2ngukxh3jy

Multispectral palm image fusion for accurate contact-free palmprint recognition

Ying Hao, Zhenan Sun, Tieniu Tan, Chao Ren
2008 2008 15th IEEE International Conference on Image Processing  
Our method involves image acquisition via a dedicated device under contact-free and multi-spectral environment, preprocessing to locate Region of Interest (ROI) from each individual hand images, feature-level  ...  In this paper, we propose to improve the verification performance of contract-free palmprint recognition system by means of feature-level image registration and pixel-level fusion of multi-spectral palm  ...  Recently, a growing trend towards relieving the users from contact device has emerged and the idea of peg-free, or further contact-free, hand biometrics [1, 2, 3] is proposed.  ... 
doi:10.1109/icip.2008.4711746 dblp:conf/icip/HaoSTR08 fatcat:pd6ut3c6rfdd7eztkxwuis5m5m

Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors

Diana Gomes, Inês Sousa
2019 Sensors  
This work focuses on the recognition of the pre-drinking hand-to-mouth movement (a drink trigger) with two main objectives: predict the occurrence of drinking events in real-time and free-living conditions  ...  This shall contribute towards the efficiency of more robust multimodal approaches addressing the problem of water intake monitoring.  ...  Drinking Detection Some human activity recognition works have used inertial sensing to recognize drinking from among a range of activities.  ... 
doi:10.3390/s19092145 fatcat:3yi6sjv5qvceddtsqjzxi3dtwu
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