ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2018
rConverse: Moment by Moment Conversation Detection Using a Mobile Respiration Sensor.
Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors.Sensors (Basel, Switzerland) · 2018Trial
- Indoor Human Detection from a Building's Exterior Using 433 MHz Wireless Transceivers.Sensors (Basel, Switzerland) · 2023Article
- Hybrid Triboelectric Nanogenerators: From Energy Complementation to Integration.Research (Washington, D.C.) · 2021Review
- Experimental Study of a Deep-Learning RGB-D Tracker for Virtual Remote Human Model Reconstruction.International journal of telemedicine and applications · 2021Article
- Automated Detection of Stressful Conversations Using Wearable Physiological and Inertial Sensors.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2020Article
- Respiration Rate Estimation Based on Independent Component Analysis of Accelerometer Data: Pilot Single-Arm Intervention Study.JMIR mHealth and uHealth · 2020Article
- Fully Integrated, Stretchable, Wireless Skin-Conformal Bioelectronics for Continuous Stress Monitoring in Daily Life.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Bibliometric analysis of cardiometabolic disorders studies involving NOBMC public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Monitoring of in-person conversations has largely been done using acoustic sensors. In this paper, we propose a new method to detect moment-by-moment conversation episodes by analyzing breathing patterns captured by a mobile respiration sensor. Since breathing is affected by physical and cognitive activities, we develop a comprehensive method for cleaning, screening, and analyzing noisy respiration data captured in the field environment at individual breath cycle level. Using training data collected from a speech dynamics lab study with 12 participants, we show that our algorithm can identify each respiration cycle with 96.34% accuracy even in presence of walking. We present a Conditional Random Field, Context-Free Grammar (CRF-CFG) based conversation model, called
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.