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Although running is a common leisure activity and a core training regiment for several athletes, between $29\%$ and $79\%$ of runners sustain an overuse injury each year. These injuries are linked to excessive fatigue, which alters how…

While various sensors have been deployed to monitor vehicular flows, sensing pedestrian movement is still nascent. Yet walking is a significant mode of travel in many cities, especially those in Europe, Africa, and Asia. Understanding…

Audio and Speech Processing · Electrical Eng. & Systems 2025-08-11 Chaeyeon Han , Pavan Seshadri , Yiwei Ding , Noah Posner , Bon Woo Koo , Animesh Agrawal , Alexander Lerch , Subhrajit Guhathakurta

Phone sensors could be useful in assessing changes in gait that occur with alcohol consumption. This study determined (1) feasibility of collecting gait-related data during drinking occasions in the natural environment, and (2) how…

Computers and Society · Computer Science 2017-12-01 Brian Suffoletto , Pedram Gharani , Tammy Chung , Hassan Karimi

Audio-based pedestrian detection is a challenging task and has, thus far, only been explored in noise-limited environments. We present a new dataset, results, and a detailed analysis of the state-of-the-art in audio-based pedestrian…

Audio and Speech Processing · Electrical Eng. & Systems 2025-09-24 Yonghyun Kim , Chaeyeon Han , Akash Sarode , Noah Posner , Subhrajit Guhathakurta , Alexander Lerch

In recent years, there have been a surge in ubiquitous technologies such as smartwatches and fitness trackers that can track the human physical activities effortlessly. These devices have enabled common citizens to track their physical…

Signal Processing · Electrical Eng. & Systems 2021-12-02 Venkata Devesh Reddy Seethi , Pratool Bharti

Impairments in gait occur after alcohol consumption, and, if detected in real-time, could guide the delivery of "just-in-time" injury prevention interventions. We aimed to identify the salient features of gait that could be used for…

Computers and Society · Computer Science 2017-12-15 Pedram Gharani , Brian Suffoletto , Tammy Chung , Hassan Karimi

Wearable sensors enable health researchers to continuously collect data pertaining to the physiological state of individuals in real-world settings. However, such data can be subject to extensive missingness due to a complex combination of…

Machine Learning · Computer Science 2024-06-28 Hui Wei , Maxwell A. Xu , Colin Samplawski , James M. Rehg , Santosh Kumar , Benjamin M. Marlin

By 2050, a quarter of the US population will be over the age of 65 with greater than a 40% risk of developing life-altering neuromusculoskeletal pathologies. The potential of wearables, such as Apple AirPods and hearing aids, to provide…

Human-Computer Interaction · Computer Science 2025-03-18 Alexandra Hammerberg , Samuel Grunblatt , Patricia Kramer

Infants' spontaneous and voluntary movements mirror developmental integrity of brain networks since they require coordinated activation of multiple sites in the central nervous system. Accordingly, early detection of infants with atypical…

Computer Vision and Pattern Recognition · Computer Science 2019-12-19 Manu Airaksinen , Okko Räsänen , Elina Ilén , Taru Häyrinen , Anna Kivi , Viviana Marchi , Anastasia Gallen , Sonja Blom , Anni Varhe , Nico Kaartinen , Leena Haataja , Sampsa Vanhatalo

Step-counting has been widely implemented in wrist-worn devices and is accepted by end users as a quantitative indicator of everyday exercise. However, existing counting approach (mostly on wrist-worn setup) lacks robustness and thus…

Signal Processing · Electrical Eng. & Systems 2024-07-09 Sizhen Bian , Rakita Strahinja , Philipp Schilk , Clénin Marc-André , Silvano Cortesi , Elio Reinschmidt , Kanika Dheman , Michele Magno

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

Accurate estimation of the human circadian phase plays an important role in personalized health monitoring, but most existing wearable-based approaches operate retrospectively and require full circadian cycle recordings, leading to high…

Signal Processing · Electrical Eng. & Systems 2026-05-05 Mengzhu Xu , Nemanja Cabrilo , Merel van Gilst , Jean-Paul Linnartz

We present results from a set of experiments in this pilot study to investigate the causal influence of user activity on various environmental parameters monitored by occupant carried multi-purpose sensors. Hypotheses with respect to each…

Human-Computer Interaction · Computer Science 2016-11-17 Ming Jin , Han Zou , Kevin Weekly , Ruoxi Jia , Alexandre M. Bayen , Costas J. Spanos

Gait event detection of the initial contact and toe off is essential for running gait analysis, allowing the derivation of parameters such as stance time. Heuristic-based methods exist to estimate these key gait events from tibial…

Machine Learning · Computer Science 2020-12-15 Pieter Robberechts , Rud Derie , Pieter Van den Berghe , Joeri Gerlo , Dirk De Clercq , Veerle Segers , Jesse Davis

Body sounds provide rich information about the state of the human body and can be useful in many medical applications. Auscultation, the practice of listening to body sounds, has been used for centuries in respiratory and cardiac medicine…

Human-Computer Interaction · Computer Science 2020-08-13 Shyam A. Tailor , Jagmohan Chauhan , Cecilia Mascolo

Advances in commercial wearable devices are increasingly facilitating the collection and analysis of everyday physiological data. This paper discusses the theoretical and practical aspects of using such ambulatory devices for the detection…

Applications · Statistics 2019-10-15 Amit Birenboim , Martin Dijst , Floortje Scheepers , Maartje Poelman , Marco Helbich

Remote monitoring of motor functions is a powerful approach for health assessment, especially among the elderly population or among subjects affected by pathologies that negatively impact their walking capabilities. This is further…

Signal Processing · Electrical Eng. & Systems 2022-05-18 Antonio Bevilacqua , Lisa Alcock , Brian Caulfield , Eran Gazit , Clint Hansen , Neil Ireson , Georgiana Ifrim

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

Movement disorders, such as Parkinson's disease, affect more than 10 million people worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these disorders. Specifically, step length provides valuable insights…

Signal Processing · Electrical Eng. & Systems 2022-05-03 Sizhe An , Yigit Tuncel , Toygun Basaklar , Gokul Krishna Krishnakumar , Ganapati Bhat , Umit Ogras

Walking speed estimation is an essential component of mobile apps in various fields such as fitness, transportation, navigation, and health-care. Most existing solutions are focused on specialized medical applications that utilize body-worn…

Computers and Society · Computer Science 2019-03-07 Aawesh Shrestha , Myounggyu Won
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