wifitune:通过协调WiFi和音频来监测在线参与的参与度

Companion Publication of the 2020 International Conference on Multimodal Interaction Pub Date : 2023-10-09 DOI:10.1145/3577190.3614108

Vijay Kumar Singh, Pragma Kar, Ayush Madhan Sohini, Madhav Rangaiah, Sandip Chakraborty, Mukulika Maity

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引用次数: 0

摘要

本文提出了一种多模式、非侵入性和隐私保护系统wifitune，用于监控在线参与，即会议/课程/研讨会的参与。它使用两种传感模式，即WiFi CSI和音频。wifitune通过WiFi CSI检测在线参与过程中参与者的头部动作，并通过音频检测说话者的意图。然后，它将两者联系起来，以检测接触。我们用22名参与者对wifitune进行了评估，并观察到它可以检测参与度水平，平均准确率超过。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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WiFiTuned: Monitoring Engagement in Online Participation by Harmonizing WiFi and Audio

This paper proposes a multi-modal, non-intrusive and privacy preserving system WiFiTuned for monitoring engagement in online participation i.e., meeting/classes/seminars. It uses two sensing modalities i.e., WiFi CSI and audio for the same. WiFiTuned detects the head movements of participants during online participation through WiFi CSI and detects the speaker’s intent through audio. Then it correlates the two to detect engagement. We evaluate WiFiTuned with 22 participants and observe that it can detect the engagement level with an average accuracy of more than .

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Companion Publication of the 2020 International Conference on Multimodal Interaction

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