MmRipple: Communicating with mmWave Radars through Smartphone Vibration

Kaiyan Cui, Qiang Yang, Yuanqing Zheng, Jinsong Han

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)

Abstract

This paper presents the design and implementation of mmRipple, which empowers commodity mmWave radars with the communication capability through smartphone vibrations. In mmRipple, a smartphone (transmitter) sends messages by modulating smartphone vibrations, while a mmWave radar (receiver) receives the messages by detecting and decoding the smartphone vibrations with mmWave signals. By doing so, a smartphone user can not only be passively sensed by a mmWave radar, but also actively send messages to the radar using her smartphone without any hardware modifications to either the smartphone or the mmWave radar. mmRipple addresses a series of unique technical challenges, including vibration signal generation, tiny vibration sensing, multiple object separation, and movement interference mitigation. We implement and evaluate mmRipple using commodity mmWave radars and smartphones in different practical conditions. Experimental results show that mmRipple achieves an average vibration pattern recognition accuracy of 98.60% within a 2m communication range, and 97.74% within 3m on 11 different types of smartphones. The communication range can be further extended up to 5m with an accuracy of 91.67% with line-of-sight path. To our best knowledge, mmRipple is the first work that allows smartphones to send data to COTS mmWave radars via smartphone vibrations and will enable many new applications such as vibration-based near field communication and pedestrian-to-sensing-infrastructure communication.

Original languageEnglish
Title of host publicationIPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks
PublisherAssociation for Computing Machinery, Inc
Pages149-162
Number of pages14
ISBN (Electronic)9798400701184
DOIs
Publication statusPublished - 9 May 2023
Event22nd ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2023 - San Antonio, United States
Duration: 9 May 202312 May 2023

Publication series

NameIPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks

Conference

Conference22nd ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2023
Country/TerritoryUnited States
CitySan Antonio
Period9/05/2312/05/23

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management

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