Radhar: Human activity recognition from point clouds generated through a millimeter-wave radar

AD Singh, SS Sandha, L Garcia… - Proceedings of the 3rd …, 2019 - dl.acm.org
Accurate human activity recognition (HAR) is the key to enable emerging context-aware
applications that require an understanding and identification of human behavior, eg …

Apneadetector: Detecting sleep apnea with smartwatches

X Chen, Y Xiao, Y Tang… - Proceedings of the …, 2021 - dl.acm.org
Sleep apnea is a sleep disorder in which breathing is briefly and repeatedly interrupted.
Polysomnography (PSG) is the standard clinical test for diagnosing sleep apnea. However, it …

[HTML][HTML] Innovative Detection and Segmentation of Mobility Activities in Patients Living with Parkinson's Disease Using a Single Ankle-Positioned Smartwatch

E Goubault, C Duval, C Martin, K Lebel - Sensors, 2024 - mdpi.com
Background: The automatic detection of activities of daily living (ADL) is necessary to
improve long-term home-based monitoring of Parkinson's disease (PD) symptoms. While …

Recognition of Similar Habits Using Smartwatches and Supervised Learning

M Hassemer, E Cudjoe, J Dohn, C Kredel… - Proceedings of SAI …, 2022 - Springer
Especially in the healthcare system, there is a lot of potential to use wearables to create an
even more efficient way to care for patients and have important data available at all times …

Neat activity detection using smartwatch at low sampling frequency

A Dewan, VMV Gunturi, V Naik… - 2021 IEEE SmartWorld …, 2021 - ieeexplore.ieee.org
Our paper aims to build a classification model to discern the typical NEAT (Non-Exercise
Activity Thermogenesis) activities done in a home setting. The concept of NEAT is broadly …

[图书][B] Deep Scene Understanding using RF and its Fusion with other Modalities

AD Singh - 2023 - search.proquest.com
Rich scene understanding is a critical first step in creating autonomous systems with
situational awareness–ie systems that can not only perceive and comprehend their …

NEAT activity detection using smartwatch

A Dewan, VMV Gunturi, V Naik - International Journal of …, 2024 - inderscienceonline.com
This paper presents a system for distinguishing non-exercise activity thermogenesis (NEAT)
and non-NEAT activities at home. NEAT includes energy expended on activities apart from …

A hierarchical classifier for detecting metro-journey activities in data sampled at low frequency

A Dewan, VMV Gunturi, V Naik… - Proceedings of the 17th …, 2019 - dl.acm.org
This paper aims to build a novel classification model that can distinguish the typical motion
activities that a traveler would perform in a metro-journey. Following motion activities are …

Deep Learning Models for NEAT Activity Detection on Smartwatch

A Dewan, VMV Gunturi, V Naik - 2023 IEEE Smart World …, 2023 - ieeexplore.ieee.org
Our goal of this research focuses on exploring deep learning classification models for
recognizing and differentiating Non-Exercise Activity Thermogenesis (NEAT) activities …

Receiver coil built into belt for heat dissipation of watch-type smart devices

S Kashiwazaki, K Hachiya, T Kanamoto… - IEICE Electronics …, 2022 - jstage.jst.go.jp
This letter proposes a novel method to promote the heat dissipation of watch-type smart
devices by using receiver coils for wireless charging. It is achieved by embedding a spiral …