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Towards Location Independent Gesture Recognition with Commodity WiFi Devices
2019
Electronics
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To tackle this challenge, we propose WiHand, a location independent gesture recognition system based on commodity WiFi devices. ...
Due to the sensitivity of WiFi signals to environments, an activity recognition model trained at a specific place can hardly work well for other places. ...
Design Details of WiHand
Overview WiHand harnesses the commodity WiFi devices to realize location independent fine-grained hand gesture recognition. ...
doi:10.3390/electronics8101069
fatcat:rhm4qeno5nelxiveelx42klpjq
WiMorse: A Contactless Morse Code Text Input System using Ambient WiFi Signals
2019
IEEE Internet of Things Journal
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WiMorse leverages ubiquitous commodity WiFi devices to track subtle finger movements contactlessly and encode them as Morse code input. ...
To address the severe location dependency issue in wireless sensing with accurate theoretical underpinning and experiments, we propose a signal transformation mechanism to automatically convert signals ...
WiFi based fine-grained activities sensing: With the availability of CSI readings from commodity WiFi devices [32] , significant progresses have been made for contactless sensing, enabling new fine-grained ...
doi:10.1109/jiot.2019.2934904
fatcat:s5qj52ntijebrem3o7ophaal2y
Exploiting Serialized Fine-Grained Action Recognition Using WiFi Sensing
2021
Mobile Information Systems
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We show that our approach can adapt to different deployment environments and user patterns. ...
In this paper, we present WiCG, an innovative and novel WiFi sensing approach for capturing and providing feedback on stroke order. ...
Related Work ese works inspire us to exploit serialized finegrained action recognition leveraging WiFi signals.
Fine-Grained Human Activities. ...
doi:10.1155/2021/4770143
fatcat:qq7xl3576vcrrkkggglihcoer4
Privacy Protection for Audio Sensing Against Multi-Microphone Adversaries
2019
Proceedings on Privacy Enhancing Technologies
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Audio-based sensing enables fine-grained human activity detection, such as sensing hand gestures and contact-free estimation of the breathing rate. ...
Our extensive evaluations with commodity devices show that protects the user's privacy against a 16-microphone adversary with only four commodity obfuscators, regardless of the adversary's position. ...
This research was supported in part by Wisconsin Alumni Research Foundation, and the US National Science Foundation through CNS-1719336, CNS-1647152, CNS-1629833, CNS-1343363, and CNS-1838733. ...
doi:10.2478/popets-2019-0024
dblp:journals/popets/GaoFSB19
fatcat:7o2zqrparjdk7emtdpqdmdzyvq
Robust Device-Free Intrusion Detection Using Physical Layer Information of WiFi Signals
2019
Applied Sciences
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We implement RDFID using commodity WiFi devices and evaluate it in three typical office rooms with different moving patterns. ...
In this study, we propose Robust Device-Free Intrusion Detection (RDFID) system leveraging fine-grained Channel State Information (CSI). ...
activity recognition. ...
doi:10.3390/app9010175
fatcat:hhqbukizwfdr3anpea2ag4ol4m
WiN: Non-invasive Abnormal Activity Detection Leveraging Fine-Grained WiFi Signals
2016
2016 IEEE Trustcom/BigDataSE/ISPA
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In this paper, we take the first attempt to achieve non-invasive abnormal activity detection with only commodity off-the-shelf (COTS) WiFi devices, namely NotiFi, that can accurately detect the abnormal ...
activities. ...
In this paper, we attempt to build an non-invasive abnormal activity detection system on commodity off-the-shelf (COTS) WiFi device. ...
doi:10.1109/trustcom.2016.0134
dblp:conf/trustcom/ZhuPLRF16
fatcat:ixx5itmq35ccvbvemoz3uyfeyi
Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions
[article]
2021
arXiv
pre-print
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Many different types of deep learning models have been proposed to achieve high sensing accuracy over a large population and activity set, as well as in unseen environments. ...
In commodity WiFi, CSI is computed and used at the physical layer of the communications protocol. ...
Thus as the reflections from the human body impinge on the IRS-coated wall, the wall will have a high-resolution view of the human activity and hence can assist in detecting fine-grained human movements ...
arXiv:2010.12717v2
fatcat:pb6xt445tneijjohfwxizxr7he
CentiTrack: Towards Centimeter-Level Passive Gesture Tracking with Commodity WiFi
[article]
2020
arXiv
pre-print
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In addition, we adopt the Multiple Signal Classification (MUSIC) algorithm to estimate the Angle-of-Arrivals (AoAs) of dynamic paths, and then locate the initial position of hands with triangulation. ...
WiDraw [16] adopts Angle-of-Arrival (AoA) values of incident Line-of-Sight (LoS) signals for gesture tracking using commodity WiFi devices. ...
Nevertheless, in this paper, the location estimation belongs to device-free (i.e., passive) task, and the direct path is independent of hand location. ...
arXiv:2011.06896v1
fatcat:t2rf4ymgsfaozh2curgx7s2o3u
WiFi-Based Driver's Activity Monitoring with Efficient Computation of Radio-Image Features
2020
Sensors
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With substantial progress in WiFi-based device-free localization and activity recognition, radio-image features have achieved better recognition performance using the proficiency of image descriptors. ...
This novel framework is evaluated in terms of activity recognition accuracy. To ensure the reliability of the suggested scheme, we analyzed the results by adopting different evaluation metrics. ...
Fine-grained CSI data of WiFi signal reveals the information about how signals propagate from transmitter to receiver. ...
doi:10.3390/s20051381
pmid:32138296
pmcid:PMC7085687
fatcat:iowghtknlbe7hmah7ehjw5kdmm
Your AP knows how you move
2014
Proceedings of the 1st ACM workshop on Hot topics in wireless - HotWireless '14
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Recent WiFi standards use Channel State Information (CSI) feedback for better MIMO and rate adaptation. ...
In this paper, we show that CSI feedback from a client to the AP can be used to recognize different fine-grained motions of the client. ...
Estimating how AMG sensor pattern changes can be used for many different applications such as gesture recognition and activity recognition (e.g. walking, running etc.). ...
doi:10.1145/2643614.2643620
dblp:conf/mobicom/ZengPXM14
fatcat:af2nrfhb3bac3lv2354tqxxe24
Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal
[article]
2021
arXiv
pre-print
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In this paper, we propose DI-Gesture, a domain-independent and real-time mmWave gesture recognition system. ...
Human gesture recognition using millimeter wave (mmWave) signals provides attractive applications including smart home and in-car interface. ...
Beyond WiFi, mmWave gesture recognition has attracted great attention due to the fine-grained resolution, small chip size and easy to deployment natures of mmWave sensors. ...
arXiv:2111.06195v1
fatcat:gj3r4bq5vfefdiwkipmyemugpa
Implementation of unobtrusive sensing systems for elderly care: Scoping review (Preprint)
2021
JMIR Aging
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, activities monitored, sensor setup, sensing technology used, and usefulness of USSs. ...
of USSs contributed to adoption, activities monitored contributed to appropriateness, and sensing technology used contributed to implementation cost. ...
.(2016) fine-grained finger gesture recognition. [75] Wang, K. et al.(2019) Demonstrate the potential of detecting falling events using commodity mmWave sensor. [83] Zhang, S. ...
doi:10.2196/27862
pmid:34612822
pmcid:PMC8529483
fatcat:7mmp2lwlfreebeaqc472w4goo4
The election algorithm for semantically meaningful location-awareness
2007
Proceedings of the 6th international conference on Mobile and ubiquitous multimedia - MUM '07
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The technology of multimedia content adaptation based upon the location of a target device can become the long expected killer application of ubiquitous computing. ...
This paper presents a simple location estimation method to build radio beacon based location systems in the indoor environments. ...
On the other hand, the division based on prior knowledge is present in both coarse grained and fine grained systems. ...
doi:10.1145/1329469.1329476
dblp:conf/mum/AhmaddLL07
fatcat:3jok55ryorgkflbxrs37nocbba
Keystroke Recognition Using WiFi Signals
2015
Proceedings of the 21st Annual International Conference on Mobile Computing and Networking - MobiCom '15
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We implemented the WiKey system using a TP-Link TL-WR1043ND WiFi router and a Lenovo X200 laptop. ...
In this paper, we propose a WiFi signal based keystroke recognition system called WiKey. ...
In this paper, we have shown that fine grained activity recognition is possible by using COTS WiFi devices. Thus, the techniques proposed in this paper can be used for several HCI applications. ...
doi:10.1145/2789168.2790109
dblp:conf/mobicom/AliLWS15
fatcat:4nxe4j4cg5f23arek5i56gs2mi
Collaborative Recognition of Queuing Behavior on Mobile Phones
2016
IEEE Transactions on Mobile Computing
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Empirical results show that QueueSense is adaptive to various queuing scenarios with both high recognition accuracy and energy efficiency. ...
We evaluate QueueSense performance using the data set from real world queuing scenarios collected over a threemonth period. ...
There are other location methods, such as using GPS, WiFi, or audio. When queuing occurs outdoors, GPS location service [22] can be combined with Bluetooth approach. ...
doi:10.1109/tmc.2015.2407400
fatcat:kpzzm4gxwfbgxbipi3kfxmaani
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