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iWOAR '22: Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence
ACM2022 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
iWOAR '22: 7th international Workshop on Sensor-based Activity Recognition and Artificial Intelligence Rostock Germany September 19 - 20, 2022
ISBN:
978-1-4503-9624-0
Published:
05 January 2023
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Abstract

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SESSION: Session #1: Human Activity Recognition
research-article
Studying pedestrians´ crossing behavior during automated vehicle interactions: A Wizard of Oz study
Article No.: 1, Pages 1–7https://doi.org/10.1145/3558884.3558885

As a substitute for communication with a human driver, additional communication cues for AVs have been proposed [1]. To analyze their effect on traffic flow, preceding studies captured pedestrians´ crossing decision in an unnatural manner, e.g., via ...

research-article
Open Access
Fine-Grained Human Activity Recognition - A new paradigm
Article No.: 2, Pages 1–8https://doi.org/10.1145/3558884.3558893

Nowadays, fine-grained Human Activity Recognition (HAR) has become extremely interesting among researchers due to its applications in fields such as healthcare, security, sports, and smart environments. In this paper, we provide a brief overview of the ...

research-article
Discovering Behavioural Predispositions in Data to Improve Human Activity Recognition
Article No.: 3, Pages 1–7https://doi.org/10.1145/3558884.3558892

The automatic, sensor-based assessment of challenging behavior of persons with dementia is an important task to support the selection of interventions. However, predicting behaviors like apathy and agitation is challenging due to the large inter- and ...

SESSION: Session #2: Activity Recognition in Healthcare & Medicine
research-article
Evaluating neurorehabilitation exercises captured with commodity sensors and machine-learning framework
Article No.: 4, Pages 1–10https://doi.org/10.1145/3558884.3558897

During the last decades, disease-related disabilities, primarily caused by stroke have increased worldwide. Neurorehabilitation exercise therapy plays a vital role in the recovery of such disabilities. However, due to global demographic changes and the ...

research-article
Open Access
Hand Gesture Recognition in Daily Life as an Additional Tool for Unobtrusive Data Labeling in Medical Studies
Article No.: 5, Pages 1–7https://doi.org/10.1145/3558884.3558888

For many use cases, such as supervised machine learning, labeled data is needed. However, to collect information for labels in real-life contexts, scientists are confronted with the challenge of gathering labeled data over an extended period. Labeling ...

research-article
Activities of Daily Living Detection on Healthcare: A Categorization
Article No.: 6, Pages 1–10https://doi.org/10.1145/3558884.3558887

The incremental advancement of sensor technology has positively impacted the field of activities of daily living (ADL) recognition and monitoring in Ambient Assisted Living (AAL) environments. People in AAL environments interact by means of electronic ...

SESSION: Session #3: Wearable Devices
research-article
ShoeTect: Detecting Body Posture, Ambulation Activity, Gait Abnormalities, and Terrain with Multisensory Smart Footwear
Article No.: 7, Pages 1–10https://doi.org/10.1145/3558884.3558904

Our feet are not just used to walk upright, feet can also reveal important context information on our physical constitution and context. In this research, we present a proof-of-concept multisensory approach to uncover the hidden information our feet ...

research-article
Does my glucose level tell how energetic I feel?
Article No.: 8, Pages 1–9https://doi.org/10.1145/3558884.3558894

Nowadays, many organisations steadily have to face new challenges due to an increasing competition, new technologies and manpower shortage. While dealing with this growth of challenges and confronting employees with higher demands, organizations have ...

research-article
Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data
Article No.: 9, Pages 1–8https://doi.org/10.1145/3558884.3558895

Smart support systems for the recognition of Activities of Daily Living (ADLs) can help elderly people live independently for longer improving their standard of living. Many machine learning approaches have been proposed lately for Human Activity ...

SESSION: Session #4: Mobile Devices & Passive Sensors
research-article
Nurturing Cognitive Abilities of Older Adults Using NLP Models on Mobile Devices
Article No.: 10, Pages 1–5https://doi.org/10.1145/3558884.3558889

Studies have shown that cognitive function and stamina are vulnerable to aging. Susceptibility to such age-related decline can be related to many factors, including education, literacy, occupation, and engagement in leisure activities. In this paper, we ...

research-article
Online Personalisation of Deep Mobile Activity Recognisers
Article No.: 11, Pages 1–7https://doi.org/10.1145/3558884.3558896

Activity recognition is an increasingly important feature in mobile consumer devices that enables the design of context-aware applications and the customisation of user experiences. Recent deep learning-based recognisers demonstrate promising ...

research-article
Open Access
Reducing Deployment Cost for Passive Electric Field Sensors
Article No.: 12, Pages 1–8https://doi.org/10.1145/3558884.3558886

Electric field sensors are used in a variety of ways to recognize different human actions and behaviors, for example, fall detection or classification of movements. However, very little is known about the number of sensors that are needed to achieve an ...

SESSION: Session #5: Industry Session
research-article
Open Access
Camera-based Blink Detection using 3D-Landmarks
Article No.: 13, Pages 1–7https://doi.org/10.1145/3558884.3558890

Working in front of the computer for long periods of time leads to exhaustion, fatigue and high strain on the eyes. Often the natural eye blink activity is disturbed and the eyes do not form enough tears to stay moist. Computer workstations are usually ...

research-article
Open Access
Dataset and Methods for Recognizing Care Activities
Article No.: 14, Pages 1–8https://doi.org/10.1145/3558884.3558891

A major challenge in stationary care in hospitals is the limited amount of time for each patient due to a large overhead being created by manual documentation efforts. Studies show that it is common for caregivers to spend more than one hour per day for ...

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Acceptance Rates

Overall Acceptance Rate 46 of 73 submissions, 63%
YearSubmittedAcceptedRate
iWOAR '19111091%
iWOAR '18281554%
iWOAR '17191263%
iWOAR '1615960%
Overall734663%