Toward wearable sensors: advances, trends, and challenges

T He, J Chen, BG He, W Wang, ZL Zhu, Z Lv - ACM Computing Surveys, 2023 - dl.acm.org
Sensors suitable for wearable devices have many special characteristics compared to other
sensors, such as stability, sensitivity, sensor volume, biocompatibility, and so on. With the …

[HTML][HTML] A review of rehabilitative and assistive technologies for upper-body exoskeletal devices

E Hays, J Slayton, G Tejeda-Godinez, E Carney… - Actuators, 2023 - mdpi.com
This journal review article focuses on the use of assistive and rehabilitative exoskeletons as
a new opportunity for individuals with diminished mobility. The article aims to identify gaps …

Automatic Accident Alert System–Early Accident Prediction and Warning for the consumers

SS Tippannavar, EA Madappa… - 2022 IEEE 2nd Mysore …, 2022 - ieeexplore.ieee.org
Road accidents are extremely common nowadays. On-time delivery of medical assistance
can save lives. The mortality rate is reduced and lives can be saved by eliminating the time …

[HTML][HTML] Theoretically guided iterative design of the Sense2Quit app for tobacco cessation in persons living with HIV

R Schnall, P Trujillo, G Alvarez, CL Michaels… - International Journal of …, 2023 - mdpi.com
The use of mobile health (mHealth technology) can be an effective intervention when
considering chronic illnesses. Qualitative research methods were used to identify specific …

[HTML][HTML] Research on a capacitive particle analysis smoke detector

B Wang, X Zhao, Y Zhang, Z Song, Z Wang - Scientific reports, 2024 - nature.com
Smoke detectors face the challenges of increasing accuracy, sensitivity, and high reliability
in complex use environments to ensure the timeliness, accuracy, and reliability of very early …

User-biased food recognition for health monitoring

M Hussain, A Ortis, R Polosa, S Battiato - International Conference on …, 2022 - Springer
This paper presents a user-biased food recognition system. The presented approach has
been developed in the context of the FoodRec project, which aims to define an automatic …

[PDF][PDF] Semantic Food Segmentation Using Convolutional Deconvolutional Pyramid Network for Health Monitoring

M Hussain, A Ortis, R Polosa, S Battiato - International Journal of …, 2023 - dmi.unict.it
This paper presents semantic food segmentation to detect individual food items in an image
in the context of Food Recognition (FoodRec) project. FoodRec aims to study and develop …

IoT-based enhanced decision-making and data mining for digital transformation of tobacco companies

Y Lin - 2023 - researchsquare.com
In recent years, the Internet of Things (IoT) has transformed various sectors, including the
tobacco industry, by offering digital transformation opportunities. There is enormous …

myAQM: Interfacing Portable Air Quality Monitor with the Apple Watch-An In-the-Wild Usability Study

V Nguyen - … Conference on Pervasive Computing Technologies for …, 2023 - Springer
The last decade witnessed the popularization of commercial smartwatches as personal
health-tracking devices. This coincided with a deeper understanding of the health effects of …

Semantic food segmentation for health monitoring

M Hussain, A Ortis, R Polosa… - … Conference on Machine …, 2023 - spiedigitallibrary.org
This paper presents semantic food segmentation to detect individual food items in an image.
The presented approach has been developed in the context of the FoodRec project, which …