Whole-home gesture recognition using wireless signals

Pu, Qifan; Gupta, Sidhant; Gollakota, Shyamnath; Patel, Shwetak

doi:10.1145/2500423.2500436

Cited by 783 publications

(483 citation statements)

References 24 publications

(18 reference statements)

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“…Finally, RF-IDraw's application is inspired by recent work on motion tracking [27,10,9] which uses RF signals to enable a user to interact with the environment. Differing from these systems, RFIDraw is the first RF-based solution that can accurately reconstruct the detailed trajectory of a user's writing or gesturing in the air, where each letter or gesture is only a few centimeters wide.…”

Section: Related Workmentioning

confidence: 99%

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RF-IDraw

Wang

Vasisht

Katabi

2014

Proceedings of the 2014 ACM Conference on SIGCOMM

242

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Prior work in RF-based positioning has mainly focused on discovering the absolute location of an RF source, where state-of-theart systems can achieve an accuracy on the order of tens of centimeters using a large number of antennas. However, many applications in gaming and gesture based interface see more benefits in knowing the detailed shape of a motion. Such trajectory tracing requires a resolution several fold higher than what existing RF-based positioning systems can offer.This paper shows that one can provide a dramatic increase in trajectory tracing accuracy, even with a small number of antennas. The key enabler for our design is a multi-resolution positioning technique that exploits an intrinsic tradeoff between improving the resolution and resolving ambiguity in the location of the RF source. The unique property of this design is its ability to precisely reconstruct the minute details in the trajectory shape, even when the absolute position might have an offset. We built a prototype of our design with commercial off-the-shelf RFID readers and tags and used it to enable a virtual touch screen, which allows a user to interact with a desired computing device by gesturing or writing her commands in the air, where each letter is only a few centimeters wide.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Such capability is not supported by prior work in RF-based gesture recognition. For example, [27] presents a state-of-the-art WiFi-based in-, , Figure 5-Angle of Arrival at Antenna Pair: Based on the signal phase difference measured between a pair of antennas, one can estimate the spatial direction along which the source's signal arrives.…”

Section: Related Workmentioning

confidence: 99%

RF-IDraw

Wang

Vasisht

Katabi

2014

Proceedings of the 2014 ACM Conference on SIGCOMM

242

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“…We believe that with these recognition rates it is already possible to implement non critical real world systems for home automation, entertainment, appliance control, etc. There is also a recent work called WiSee [7] in which they used wireless signals such as Wifi to perform the recognition so the user does not need to carry any type of device. Kühnel et al [8] did a very complete work about gesture recognition for controlling home appliances.…”

Section: Related Workmentioning

confidence: 99%

Contextualized Hand Gesture Recognition with Smartphones

Garcia-Ceja

Brena

Galván-Tejada

2014

Lecture Notes in Computer Science

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Abstract. Most of the previous works in hand gesture recognition focus in increasing the accuracy and robustness of the systems, however little has been done to understand the context in which the gestures are performed, i.e, the same gesture could mean different things depending on the context and situation. Understanding the context may help to build more user-friendly and interactive systems. In this work, we used location information in order to contextualize the gestures. The system constantly identifies the location of the user so when he/she performs a gesture the system can perform an action based on this information.

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“…This means that the Doppler resolution can be improved by taking longer samples during processing. A similar description can be also found in the other digital Doppler information extraction method, for example more OFDM symbols are required according to the processing principle in [6]. However, the main problem with longer integration times is that a longer processing time is required for extracting the Doppler information from the very large volume of data samples.…”

mentioning

confidence: 92%

A real-time high resolution passive WiFi Doppler-radar and its applications

Tan

Woodbridge

Chetty

2014

2014 International Radar Conference

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Abstract-The design and implementation of a real-time passive high Doppler resolution radar system is described in this paper. Batch processing and pipelined processing flow are introduced for reducing the processing time to enable real-time display. The proposed method is implemented on a software defined radio (SDR) platform. Two experiments using this system are described: one based on small human body motions and another one on hand gesture detection. The results from these experiments show that the proposed system can be used in a range of application scenarios such as eHealth, human-machine interaction and high accuracy indoor target tracking.

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Whole-home gesture recognition using wireless signals

Cited by 783 publications

References 24 publications

RF-IDraw

RF-IDraw

Contextualized Hand Gesture Recognition with Smartphones

A real-time high resolution passive WiFi Doppler-radar and its applications

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