Push the limit of acoustic gesture recognition

Y Wang, J Shen, Y Zheng - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
With the flourish of the smart devices and their applications, controlling devices using
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …

[HTML][HTML] Privacy-preserving human activity sensing: A survey

Y Yang, P Hu, J Shen, H Cheng, Z An, X Liu - High-Confidence Computing, 2024 - Elsevier
With the prevalence of various sensors and smart devices in people's daily lives, numerous
types of information are being sensed. While using such information provides critical and …

BaG: Behavior-aware group detection in crowded urban spaces using WiFi probes

J Shen, J Cao, X Liu - The World Wide Web Conference, 2019 - dl.acm.org
Group detection is gaining popularity as it enables various applications ranging from
marketing to urban planning. The group information is an important social context which …

Recognition of interactive human groups from mobile sensing data

W Zhu, J Chen, L Xu, J Cao - Computer Communications, 2022 - Elsevier
In real life, people often participate in activities in groups. During the activities, group
members commonly engage in interactions such as shaking hands, waving hands …

A human data-driven interaction estimation using IoT sensors for workplace design

JH Ma, SH Cha - Automation in Construction, 2020 - Elsevier
Accurate face-to-face interaction estimation is required for a successful data-driven design in
workplaces. In previous studies, various sensor-based interaction estimation methods which …

User profiling based on nonlinguistic audio data

J Shen, J Cao, O Lederman, S Tang… - ACM Transactions on …, 2021 - dl.acm.org
User profiling refers to inferring people's attributes of interest (AoIs) like gender and
occupation, which enables various applications ranging from personalized services to …

Gender recognition of human based on speech characteristics by features fusion with K_NN and MLPNN classifications

MJ AL-Dujaili, HJS Ahily, A Fatlawi - AIP Conference Proceedings, 2023 - pubs.aip.org
The desire to establish human-computer speech communication, as well as the expansion
of the use of the Internet and the possibility of receiving various information services and …

ConfLab: a data collection concept, dataset, and benchmark for machine analysis of free-standing social interactions in the wild

C Raman, J Vargas Quiros, S Tan… - Advances in …, 2022 - proceedings.neurips.cc
Recording the dynamics of unscripted human interactions in the wild is challenging due to
the delicate trade-offs between several factors: participant privacy, ecological validity, data …

How Private is Low-Frequency Speech Audio in the Wild? An Analysis of Verbal Intelligibility by Humans and Machines

A Liu, P Vunderink, JV Quiros, C Raman… - arxiv preprint arxiv …, 2024 - arxiv.org
Low-frequency audio has been proposed as a promising privacy-preserving modality to
study social dynamics in real-world settings. To this end, researchers have developed …

Deep Neural Network Voice Activity Detector for Downsampled Audio Data: An Experiment Report

M Ovaska, J Kultanen, T Autto, J Uusnäkki… - arxiv preprint arxiv …, 2021 - arxiv.org
Sociometric badges are an emerging technology for study how teams interact in physical
places. Audio data recorded by sociometric badges is often downsampled to not record …