{"title":"BMAR: Barometric and Motion-based Alignment and Refinement for Offline Signal Synchronization across Devices","authors":"Manuel Meier, Christian Holz","doi":"10.1145/3596268","DOIUrl":null,"url":null,"abstract":"Fig. 1. BMAR is a novel method to synchronize and align signals across devices without the need for specific user input, action, or explicit synchronization through wired or wireless communication (e.g., WiFi or BLE). BMAR is capable of synchronizing (a) independently recorded signals after the fact by (b) first pre-aligning recordings using air pressure as an inexpensive sensing modality that simultaneously allows us to reject non-simultaneous recordings. (c) In a second step, BMAR produces a refined signal alignment across sensor devices by cross-correlating accelerometer observations.","PeriodicalId":20463,"journal":{"name":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","volume":"54 1","pages":"69:1-69:21"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3596268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fig. 1. BMAR is a novel method to synchronize and align signals across devices without the need for specific user input, action, or explicit synchronization through wired or wireless communication (e.g., WiFi or BLE). BMAR is capable of synchronizing (a) independently recorded signals after the fact by (b) first pre-aligning recordings using air pressure as an inexpensive sensing modality that simultaneously allows us to reject non-simultaneous recordings. (c) In a second step, BMAR produces a refined signal alignment across sensor devices by cross-correlating accelerometer observations.