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Smart wearable sensors for health and lifestyle monitoring: commercial and emerging solutions
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 …
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
Biosignals from wearable sensors have shown great potential for capturing environmental
distress that pedestrians experience from negative stimuli (eg, abandoned houses, poorly …
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 …
improving our walking environment. Although conventional approaches (ie, surveys by …
Continuous authentication using gait patterns
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 …
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 …
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 …
Means algorithm are applied to these data to analyze the company's finance risk. It shows …