Effect of mental workload on breathing pattern and heart rate for a working memory task: A pilot study

D Jaiswal, A Chowdhury, T Banerjee… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Mental workload or cognitive load is the total amount of mental resources required while
doing a task. Apart from qualitative measures, various physiological signals are being used …

Defatigue: Online non-intrusive fatigue detection by a robot co-worker

P Pramanick, C Sarkar - 2018 27th IEEE International …, 2018 - ieeexplore.ieee.org
A robot as a companion or co-worker is not an emerging concept anymore, but a reality.
However, one of the major barriers to this realization is the seamless interaction with the …

Digital biomarkers: Using smartwatch data for clinically relevant outcomes

K Bhavsar, S Singhal, V Chandel… - … and other Affiliated …, 2021 - ieeexplore.ieee.org
In the paradigm of remote patient monitoring, clinical significance, robustness and
repeatability of measurements are key aspects. Such measurements using sensors or …

Unobtrusive smart-watch based approach for assessing mental workload

D Jaiswal, A Chowdhury, D Chatterjee… - 2019 IEEE Region 10 …, 2019 - ieeexplore.ieee.org
This study is a proof of concept for assessment of mental workload based on breathing
pattern reconstructed from photoplethysmograph (PPG) signal. Mental workload is the …

An Efficient Service-based System for Hierarchical Human Activity Sensing

B Pawar, S Bhattacharya, V Sharma… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
In this paper, we propose an end-to-end system, based on SEnsing as Service (SEAS)
model, which processes continuous mobility data from multiple sensors on the client edge …

mHealth for Well-Being: Case Studies in Physiological, Cognitive, and Affective Sensing

S Patel, M Duggirala, A Ghose, A Sinha - mHealth and Human-Centered …, 2023 - Springer
Medical and public health practices supported by mobile devices are a new class of
solutions/services called as mHealth. Mobile devices with their ubiquity, computing abilities …

An approach to a wrist wearable based Covid-19 prediction system to protect Health Care Professionals

D Jaiswal, K Mandana… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
With healthcare professionals being the frontline warriors in battling the Covid pandemic,
their risk of exposure to the virus is extremely high. We present our experience in building a …

Continuous Activity Recognition Using Smart Watches

D Jaiswal, A Ghose, K Muralidharan - Proceedings of the 2018 ACM …, 2018 - dl.acm.org
With the significant rise in the number of senior citizens living independently, there is a
considerable research focus in the wellness and care of this geriatric population. While …