English
Related papers

Related papers: Advancing Intoxication Detection: A Smartwatch-Bas…

200 papers

Significant losses in terms of life and property occur from road traffic accidents, which are often caused by drunk and drowsy drivers. Reducing accidents requires effective detection of alcohol impairment and drowsiness as well as…

Cryptography and Security · Computer Science 2025-02-04 Bakhtiar Muiz , Abdul Hasib , Md. Faishal Ahmed , Abdullah Al Zubaer , Rakib Hossen , Mst Deloara Khushi , Anichur Rahman

Road crashes are the sixth leading cause of lost disability-adjusted life-years (DALYs) worldwide. One major challenge in traffic safety research is the sparsity of crashes, which makes it difficult to achieve a fine-grain understanding of…

Musculoskeletal injuries during military training significantly impact readiness, making prevention through activity monitoring crucial. While Human Activity Recognition (HAR) using wearable devices offers promising solutions, it faces…

Machine Learning · Computer Science 2025-04-30 Barak Gahtan , Shany Funk , Einat Kodesh , Itay Ketko , Tsvi Kuflik , Alex M. Bronstein

With the increasing use of smartphones in our daily lives, these devices have become capable of performing many complex tasks. Concerning the need for continuous monitoring of vital signs, especially for the elderly or those with certain…

Signal Processing · Electrical Eng. & Systems 2024-03-29 Taha Samavati , Mahdi Farvardin , Aboozar Ghaffari

Accurately detecting hypoglycemia without invasive glucose sensors remains a critical challenge in diabetes management, particularly in regions where continuous glucose monitoring (CGM) is prohibitively expensive or clinically inaccessible.…

Human-Computer Interaction · Computer Science 2026-02-12 Lawrence Obiuwevwi , Krzysztof J. Rechowicz , Vikas Ashok , Sampath Jayarathna

Smartwatches have become popular for monitoring physiological parameters outside clinical settings. Using reflective photoplethysmography (PPG) sensors, such watches can non-invasively estimate heart rate (HR) in everyday environments and…

Signal Processing · Electrical Eng. & Systems 2024-12-24 Manuel Meier , Christian Holz

The ubiquity of personal digital devices offers unprecedented opportunities to study human behavior. Current state-of-the-art methods quantify physical activity using 'activity counts,' a measure which overlooks specific types of physical…

Human-Computer Interaction · Computer Science 2022-07-18 Marcin Straczkiewicz , Emily J. Huang , Jukka-Pekka Onnela

Background: Type 1 diabetes (T1D) has seen a rapid evolution in management technology and forms a useful case study for the future management of other chronic conditions. Further development of this management technology requires an…

Human-Computer Interaction · Computer Science 2025-07-25 Sam Gordon James , Miranda Elaine Glynis Armstrong , Aisling Ann O'Kane , Harry Emerson , Zahraa S. Abdallah

Staying hydrated and drinking fluids is extremely crucial to stay healthy and maintaining even basic bodily functions. Studies have shown that dehydration leads to loss of productivity, cognitive impairment and mood in both men and women.…

Computers and Society · Computer Science 2020-09-30 Nandan Kulkarni , Christopher Compton , Jooseppi Luna , Mohammad Arif Ul Alam

Wearable sensors such as smartwatches have become ubiquitous in recent years, allowing the easy and continual measurement of physiological parameters such as heart rate, physical activity, body temperature, and blood glucose in an every-day…

Neurons and Cognition · Quantitative Biology 2024-05-08 Christopher Thornton , Billy C. Smith , Guillermo M. Besne , Bethany Little , Yujiang Wang

Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of built-in sensors, offer a practical and affordable solution for…

Myocardial infarction (MI), commonly known as a heart attack, is a critical health condition caused by restricted blood flow to the heart. Early-stage detection through continuous ECG monitoring is essential to minimize irreversible damage.…

Machine Learning · Computer Science 2024-11-28 Abhijith S , Arjun Rajesh , Mansi Manoj , Sandra Davis Kollannur , Sujitta R , Jerrin Thomas Panachakel

Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone. The system uses a 3-dimentional smartphone accelerometer as…

Computers and Society · Computer Science 2014-02-03 Amin Rasekh , Chien-An Chen , Yan Lu

Human Activity Recognition (HAR) using wearable devices such as smart watches embedded with Inertial Measurement Unit (IMU) sensors has various applications relevant to our daily life, such as workout tracking and health monitoring. In this…

Computer Vision and Pattern Recognition · Computer Science 2021-12-22 Wenjin Tao , Haodong Chen , Md Moniruzzaman , Ming C. Leu , Zhaozheng Yi , Ruwen Qin

According to prior work, the type of relationship between the person consuming alcohol and others in the surrounding (friends, family, spouse, etc.), and the number of those people (alone, with one person, with a group, etc.) are related to…

Social and Information Networks · Computer Science 2021-08-04 Lakmal Meegahapola , Florian Labhart , Thanh-Trung Phan , Daniel Gatica-Perez

Advanced wearable sensor devices have enabled the recording of vast amounts of movement data from individuals regarding their physical activities. This data offers valuable insights that enhance our understanding of how physical activities…

Software Engineering · Computer Science 2024-08-20 Thomas Peroutka , Ilir Murturi , Praveen Kumar Donta , Schahram Dustdar

Physical activity is recognized as an essential component of overall health. One measure of physical activity, the step count, is well known as a predictor of long-term morbidity and mortality. Step Counting (SC) is the automated counting…

Computer Vision and Pattern Recognition · Computer Science 2022-11-24 Shehroz S. Khan , Ali Abedi

Unobtrusive and smart recognition of human activities using smartphones inertial sensors is an interesting topic in the field of artificial intelligence acquired tremendous popularity among researchers, especially in recent years. A…

Machine Learning · Computer Science 2021-09-21 Meysam Vakili , Masoumeh Rezaei

Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human--computer interaction, that measure and improve our daily lives. Many of these applications are made possible by…

Human-Computer Interaction · Computer Science 2022-03-04 Shibo Zhang , Yaxuan Li , Shen Zhang , Farzad Shahabi , Stephen Xia , Yu Deng , Nabil Alshurafa

Cardiovascular diseases, including Heart Failure (HF), remain a leading global cause of mortality, often evading early detection. In this context, accessible and effective risk assessment is indispensable. Traditional approaches rely on…

Signal Processing · Electrical Eng. & Systems 2024-03-26 Sergio González , Abel Ko-Chun Yi , Wan-Ting Hsieh , Wei-Chao Chen , Chun-Li Wang , Victor Chien-Chia Wu , Shang-Hung Chang
‹ Prev 1 3 4 5 6 7 10 Next ›