Filters








9,405 Hits in 3.0 sec

Emotion recognition using wireless signals

Mingmin Zhao, Fadel Adib, Dina Katabi
2016 Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking - MobiCom '16  
The resulting beats are then used to compute emotion-dependent features which feed a machine-learning emotion classifier.  ...  We describe the design and implementation of EQ-Radio, and demonstrate through a user study that its emotion recognition accuracy is on par with stateof-the-art emotion recognition systems that require  ...  We thank the members of the MIT Wireless Center: Amazon.com, Cisco, Google, Intel, MediaTek, Microsoft and VMvare for their interest and support.  ... 
doi:10.1145/2973750.2973762 dblp:conf/mobicom/ZhaoAK16 fatcat:dcyldtoe4ne2bevxvmlvpafh3a

Emotion recognition using wireless signals

Mingmin Zhao, Fadel Adib, Dina Katabi
2018 Communications of the ACM  
The resulting beats are then used to compute emotion-dependent features which feed a machine-learning emotion classifier.  ...  We describe the design and implementation of EQ-Radio, and demonstrate through a user study that its emotion recognition accuracy is on par with stateof-the-art emotion recognition systems that require  ...  We thank the members of the MIT Wireless Center: Amazon.com, Cisco, Google, Intel, MediaTek, Microsoft and VMvare for their interest and support.  ... 
doi:10.1145/3236621 fatcat:wiauwjo46jftfox3awatiysmqa

Emotion recognition from physiological signals using wireless sensors for presence technologies

Fatma Nasoz, Kaye Alvarez, Christine L. Lisetti, Neal Finkelstein
2004 Cognition, Technology & Work  
In this paper, we describe algorithms developed to analyze physiological signals associated with emotions, in order to recognize the affective states of users via noninvasive technologies.  ...  We propose a framework for modeling user's emotions from the sensory inputs and interpretations of our multi-modal system.  ...  Related Work on Emotion Elicitation and Recognition Emotion Recognition from Physiological Signals Previous Research Both manual analysis and statistical analysis of physiological signals collected during  ... 
doi:10.1007/s10111-003-0143-x fatcat:rhxdkuxusbbwtbjshirrgwbdba

Design of dangerous driving behavior warning system based on emotion recognition

2022 jecet  
EMOTION RECOGNITION TECHNOLOGY AND ITS PRINCIPLE At present, emotion recognition technology mainly uses voice, facial expression, body and physiological signals.  ...  Figure 1 : 1 Figure 1: Block diagram of speech emotion recognition system Figure 2 : 2 Figure 2: Schematic diagram of facial emotion recognition technology 2. 4 . 4 Physiological signal emotion recognition  ... 
doi:10.24214/jecet.c.11.3.43239 fatcat:rgzvb2z42rcelpg2v7vviv7ani

Research on the Application of Wireless Wearable Sensing Devices in Interactive Music

Huizhong Wang, Guolong Shi
2021 Journal of Sensors  
The recognition rate of wireless wearable devices and interactive music realized based on this algorithm was improved.  ...  Based on the "cost-incentive" emotional model, the wireless wearable device and interactive music model are regarded as continuous variables determined by the emotional effect value and the incentive value  ...  music emotion recognition is based on special cases, so it is necessary to effectively select the regression algorithm that can realize the optimal emotion recognition.  ... 
doi:10.1155/2021/7608867 fatcat:dk42jx6gtzdr7atlz42vsl3dzy

Measurement of Vital Signs with Non-invasive and Wireless Sensing Technologies and Health Monitoring

S. M. Farhad, Matiur Rahman Minar, Sudipta Majumder
2017 Journal of Advances in Information Technology  
The RF signal is capable of recognizing emotions without interfering the person, the accuracy is also high and the wireless sensing technology used in health monitoring and emotion recognition.  ...  CONCLUSION This approach on emotion recognition using wireless signals provides high accuracy by measuring heart rate variability and also the emotional states such as joy, fear, relax & anger have been  ... 
doi:10.12720/jait.8.3.187-193 fatcat:wryjwyhlnjfllj3qmkmfsaxbbq

RFexpress! - Exploiting the wireless network edge for RF-based emotion sensing [article]

Muneeba Raja, Stephan Sigg
2016 arXiv   pre-print
We measure radio characteristics in these environments at different days and times and analyse the impact of variations in the Signal to Noise Ratio (SNR) on the accuracy of DFAR emotion and activity recognition  ...  the first-ever network-edge based system to recognize emotion from movement, gesture and pose via Device-Free Activity Recognition (DFAR).  ...  Furthermore, the uniqueness of this study extends to the use of gesture recognition for emotion sensing.  ... 
arXiv:1612.06189v1 fatcat:qwbiv5rxabeurbfg2i557hbxam

EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data [article]

Yu Gu and Yantong Wang and Tao Liu and Yusheng Ji and Zhi Liu and Peng Li and Xiaoyan Wang and Xin An and Fuji Ren
2019 arXiv   pre-print
The basic methodology is to explore the physical expression of emotions from wireless channel response via data mining.  ...  This paper introduces EmoSense, a first-of-its-kind wireless emotion sensing system driven by computational intelligence.  ...  [16] designed EQ-radio, a one-of-itskind emotion recognition system using wireless signals to physiological info such as the heart beating rate and the breathing rate.  ... 
arXiv:1908.10013v1 fatcat:g3ezsrlhtvczhlxscuzhcrc6ji

Literature review on wireless sensing-Wi-Fi signal-based recognition of human activities

Chao Wang, Siwen Chen, Yanwei Yang, Feng Hu, Fugang Liu, Jie Wu
2018 Tsinghua Science and Technology  
signs detection, imaging, and emotional recognition by extracting effective feature information about human actions from Wi-Fi signals.  ...  With the rapid development and wide deployment of wireless technology, Wi-Fi signals have no longer been confined to the Internet as a communication medium.  ...  Emotional recognition In 2016, EQ-Radio, an emotion recognition system designed by Zhao et al.  ... 
doi:10.26599/tst.2018.9010080 fatcat:yakxrrsamzdtvpl5iddjsovvme

Multimodal Emotion Recognition Model Based on a Deep Neural Network with Multiobjective Optimization

Mingyong Li, Xue Qiu, Shuang Peng, Lirong Tang, Qiqi Li, Wenhui Yang, Yan Ma, Balakrishnan Nagaraj
2021 Wireless Communications and Mobile Computing  
With the rapid development of deep learning and wireless communication technology, emotion recognition has received more and more attention from researchers.  ...  After single mode recognition, a multiobjective optimization algorithm is used to fuse the two modalities at the decision level.  ...  In this study, the Mel Frequency Bank (MFB) method is used to extract the emotional features of speech signals, and the hidden Markov model (HMM) method is used to train these features.  ... 
doi:10.1155/2021/6971100 fatcat:6hlwc3brcbbmjkladym7bopjzq

DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices

Stamos Katsigiannis, Naeem Ramzan
2018 IEEE journal of biomedical and health informatics  
All the signals were captured using portable, wearable, wireless, low-cost and off-the-shelf equipment that has the potential to allow the use of affective computing methods in everyday applications.  ...  These results indicate the prospects of using low-cost devices for affect recognition applications.  ...  Portable, wearable, wireless, low-cost and off-the-shelf devices were used for both the EEG and ECG capture allowing the evaluation of affect recognition algorithms on signals that can be conveniently  ... 
doi:10.1109/jbhi.2017.2688239 pmid:28368836 fatcat:qlbwxf4pyzgrhen4f6r7u3luzq

Wireless Play Music Beep Sensor to Assist in Music Fountain Control

Qian Wang, Gengxin Sun
2022 Journal of Sensors  
However, the performance control form of musical water landscape generally adopts the manual offline preprogramming method, which needs to use the human subject's consciousness to perceive the style, emotion  ...  We propose a style recognition method based on CRNN and residual network, which has a higher accuracy rate compared with the existing methods; we use the DP algorithm to segment the pitch sequence of the  ...  Experimental Verification and Conclusion Wireless Play Beep Sensor Music Emotion Recognition Verification.  ... 
doi:10.1155/2022/7163937 fatcat:2d7tn4r37zejfmkauvzp7of4gi

Emotion Recognition Based on Skin Potential Signals with a Portable Wireless Device

Shuhao Chen, Ke Jiang, Haoji Hu, Haoze Kuang, Jianyi Yang, Jikui Luo, Xinhua Chen, Yubo Li
2021 Sensors  
In this paper, we propose a single SP-signal-based method for emotion recognition. Firstly, we developed a portable wireless device to measure the SP signal between the middle finger and left wrist.  ...  Our research demonstrates the feasibility of the SP signal's integration into existing physiological signals for emotion recognition.  ...  This encourages us to develop a technique to acquire SP signal and build an SP-based emotion recognition system to explore the feasibility of using the SP signal for emotion recognition.  ... 
doi:10.3390/s21031018 pmid:33540831 pmcid:PMC7867357 fatcat:dd4i6wvqwzf3jnrm2hm7og3pyq

A Survey on the Feasibility of Sound Classification on Wireless Sensor Nodes

Etto Salomons, Paul Havinga
2015 Sensors  
In order to be able to make a proper decision about which features to use, we survey how sound is used in the literature for global sound classification, age and gender classification, emotion recognition  ...  This can be problematic as wireless nodes are usually restricted in resources.  ...  Just as with emotion recognition, we see similar results for using frequency features and MFCCs.  ... 
doi:10.3390/s150407462 pmid:25822142 pmcid:PMC4431233 fatcat:rvjz5czj4zgvre3z6faonihxti

Deep learning framework for subject-independent emotion detection using wireless signals [article]

Ahsan Noor Khan, Achintha Avin Ihalage, Yihan Ma, Baiyang Liu, Yujie Liu, Yang Hao
2020 arXiv   pre-print
Emotion states recognition using wireless signals is an emerging area of research that has an impact on neuroscientific studies of human behaviour and well-being monitoring.  ...  Our results indicate that using wireless signals for stand-by emotion state detection is a better alternative to other technologies with high accuracy and have much wider applications in future studies  ...  On the other hand, a similar architecture is used for emotion recognition using the ECG signals.  ... 
arXiv:2006.04744v1 fatcat:jz7jvredvbfvhjrwpudmq2x6ry
« Previous Showing results 1 — 15 out of 9,405 results