Push the limit of acoustic gesture recognition
With the flourish of the smart devices and their applications, controlling devices using
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …
[HTML][HTML] Privacy-preserving human activity sensing: A survey
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 …
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
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 …
marketing to urban planning. The group information is an important social context which …
Recognition of interactive human groups from mobile sensing data
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 …
members commonly engage in interactions such as shaking hands, waving hands …
A human data-driven interaction estimation using IoT sensors for workplace design
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 …
workplaces. In previous studies, various sensor-based interaction estimation methods which …
User profiling based on nonlinguistic audio data
User profiling refers to inferring people's attributes of interest (AoIs) like gender and
occupation, which enables various applications ranging from personalized services to …
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 …
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
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 …
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
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 …
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
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 …
places. Audio data recorded by sociometric badges is often downsampled to not record …