Smart wearable sensors for health and lifestyle monitoring: commercial and emerging solutions

NM Cusack, PD Venkatraman, U Raza… - ECS sensors …, 2024 - iopscience.iop.org
The rapid growth of urbanisation has brought about various health concerns for citizens
living in urban environments. Sedentary lifestyles, increased pollution levels, and high levels …

Location-based collective distress using large-scale biosignals in real life for walkable built environments

J Kim, EH Nirjhar, H Lee, T Chaspari, C Lee, Y Ham… - Scientific reports, 2023 - nature.com
Biosignals from wearable sensors have shown great potential for capturing environmental
distress that pedestrians experience from negative stimuli (eg, abandoned houses, poorly …

[HTML][HTML] Feasibility of DRNN for identifying built environment barriers to walkability using wearable sensor data from pedestrians' gait

H Kim - Applied Sciences, 2022 - mdpi.com
Identifying built environment barriers to walkability is the first step toward monitoring and
improving our walking environment. Although conventional approaches (ie, surveys by …

Continuous authentication using gait patterns

AJ Nair, B Premjith, D Shukla, KP Soman - International Conference on …, 2022 - Springer
The usage of wearable devices and smartphones is surging day by day, while most of them
are equipped with Inertial Measurement Units (IMUs). IMUs can collect users' private data …

Detecting and classifying the vehicles in traffic signal using transfer learning

S Valli, KNS Kumar, KK Nath… - … Conference on Signal & …, 2022 - Springer
In existing methods, there are different machine learning techniques carried out for detecting
and classifying the vehicles. But in real world scenario, their validation performance is not …

Application research on information entropy and K-Means algorithm

L Liu - … on Forthcoming Networks and Sustainability (FoNeS …, 2022 - ieeexplore.ieee.org
This paper selects Company X as the research data source, information entropy and K-
Means algorithm are applied to these data to analyze the company's finance risk. It shows …