SHARP: Environment and Person Independent Activity Recognition With Commodity IEEE 802.11 Access Points

Meneghello, Francesca; Garlisi, Domenico; Fabbro, Nicolo` Dal; Tinnirello, Ilenia; Rossi, Michele

doi:10.1109/tmc.2022.3185681

Cited by 35 publications

(6 citation statements)

References 47 publications

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“…Bistatic sub-6 GHz Wi-Fi sensing. Several studies have proposed ways to perform activity recognition [26], [27], [14] using Wi-Fi Orthogonal Frequency Division Multiplexing (OFDM) CSI. Indeed, most of the CFO removal techniques described in the previous section have been originally proposed for Wi-Fi.…”

Section: Related Workmentioning

confidence: 99%

“…The µD is a frequency modulation of the reflected signal around the main Doppler frequency induced by movements of a target or target components. It is the main signal feature used in fine-grained wireless movement sensing, and has a vast number of applications in target classification, human activity recognition, pervasive healthcare, and person identification, among others [12], [13], [14]. While existing communication systems use algorithms to compensate for TO and CFO, they treat the sensing parameters (delay and Doppler shift) as part of the undesired offsets and remove them [15].…”

Section: Introductionmentioning

confidence: 99%

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JUMP: Joint Communication and Sensing With Unsynchronized Transceivers Made Practical

Pegoraro,

Lacruz,

Azzino

et al. 2024

IEEE Trans. Wireless Commun.

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Wideband millimeter-wave communication systems can be extended to provide radar-like sensing capabilities on top of data communication, in a cost-effective manner. However, the development of joint communication and sensing technology is hindered by practical challenges, such as occlusions to the lineof-sight path and clock asynchrony between devices. The latter introduces time-varying timing and frequency offsets that prevent the estimation of sensing parameters and, in turn, the use of standard signal processing solutions. Existing approaches cannot be applied to commonly used phased-array receivers, as they build on stringent assumptions about the multipath environment, and are computationally complex. We present JUMP, the first system enabling practical bistatic and asynchronous joint communication and sensing, while achieving accurate target tracking and micro-Doppler extraction in realistic conditions. Our system compensates for the timing offset by exploiting the channel correlation across subsequent packets. Further, it tracks multipath reflections and eliminates frequency offsets by observing the phase of a dynamically-selected static reference path. JUMP has been implemented on a 60 GHz experimental platform, performing extensive evaluations of human motion sensing, including nonline-of-sight scenarios. In our results, JUMP attains comparable tracking performance to a full-duplex monostatic system and similar micro-Doppler quality with respect to a phase-locked bistatic receiver.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

JUMP: Joint Communication and Sensing With Unsynchronized Transceivers Made Practical

Pegoraro,

Lacruz,

Azzino

et al. 2024

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…Bistatic sub-6 GHz Wi-Fi sensing. Several studies have proposed ways to perform activity recognition [22], [23], [24], [25] using Wi-Fi Orthogonal Frequency Division Multiplexing (OFDM) CSI. Indeed, most of the FO removal techniques described in the previous section have been originally proposed for Wi-Fi.…”

Section: Related Workmentioning

confidence: 99%

SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems

Pegoraro

Lacruz

Rossi

et al. 2022

2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

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Wideband millimeter-wave communication systems can be extended to provide radar-like sensing capabilities on top of data communication, in a cost-effective manner. However, the development of joint communication and sensing technology is hindered by practical challenges, such as occlusions to the line-of-sight path and clock asynchrony between devices. The latter introduces time-varying timing and frequency offsets that prevent the estimation of sensing parameters and, in turn, the use of standard signal processing solutions. Existing approaches cannot be applied to commonly used phased-array receivers, as they build on stringent assumptions about the multipath environment, and are computationally complex. We present JUMP, the first system enabling practical bistatic and asynchronous joint communication and sensing, while achieving accurate target tracking and micro-Doppler extraction in realistic conditions. Our system compensates for the timing offset by exploiting the channel correlation across subsequent packets. Further, it tracks multipath reflections and eliminates frequency offsets by observing the phase of a dynamically-selected static reference path. JUMP has been implemented on a 60 GHz experimental platform, performing extensive evaluations of human motion sensing, including non-line-of-sight scenarios. In our results, JUMP attains comparable tracking performance to a fullduplex monostatic system and similar micro-Doppler quality with respect to a phase-locked bistatic receiver.

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“…For example, they offer high environmental adaptability and can recognize human activities without risking privacy and comfort [15]. Wi-Fi [2,[16][17][18][19] and mmWave radar [15,[20][21][22][23][24][25] are the most widely used sensing technologies within the context of RFbased HAR systems. Note that the term mmWave radar is generally used to refer to radars that use short-wavelength electromagnetic waves.…”

Section: Introductionmentioning

confidence: 99%

Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing

Muaaz

Waqar

Pätzold

2023

Sensors

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RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar to recognize human activities. However, a single monostatic radar cannot detect the motion of a target, e.g., a moving person, orthogonal to the boresight axis of the radar. Owing to this inherent physical limitation, a single monostatic radar fails to efficiently recognize orientation-independent human activities. In this work, we present a complementary RF sensing approach that overcomes the limitation of existing single monostatic radar-based HAR systems to robustly recognize orientation-independent human activities and falls. Our approach used a distributed mmWave MIMO radar system that was set up as two separate monostatic radars placed orthogonal to each other in an indoor environment. These two radars illuminated the moving person from two different aspect angles and consequently produced two time-variant micro-Doppler signatures. We first computed the mean Doppler shifts (MDSs) from the micro-Doppler signatures and then extracted statistical and time- and frequency-domain features. We adopted feature-level fusion techniques to fuse the extracted features and a support vector machine to classify orientation-independent human activities. To evaluate our approach, we used an orientation-independent human activity dataset, which was collected from six volunteers. The dataset consisted of more than 1350 activity trials of five different activities that were performed in different orientations. The proposed complementary RF sensing approach achieved an overall classification accuracy ranging from 98.31 to 98.54%. It overcame the inherent limitations of a conventional single monostatic radar-based HAR and outperformed it by 6%.

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SHARP: Environment and Person Independent Activity Recognition With Commodity IEEE 802.11 Access Points

Cited by 35 publications

References 47 publications

JUMP: Joint Communication and Sensing With Unsynchronized Transceivers Made Practical

JUMP: Joint Communication and Sensing With Unsynchronized Transceivers Made Practical

SPARCS: A Sparse Recovery Approach for Integrated Communication and Human Sensing in mmWave Systems

Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing

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