Towards the smart sensors based human emotion recognition

The emotion probe: Studies of motivation and attention.

Lang, P. J. (1995) · American Psychologist · doi:10.1037//0003-066x.50.5.372 · Cited by 2,752 · see citing works

Photoplethysmography: Beyond the Calculation of Arterial Oxygen Saturation and Heart Rate

Shelley, K. H. (2007) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000269512.82836.c9 · Cited by 450 · see citing works

Using skin conductance in judgment and decision making research

Figner, B., Murphy, R. O., Schulte-Mecklenbeck, M., Kühberger, A., & Ranyard, R. (2011) · UvA-DARE (University of Amsterdam) · Cited by 274 · see citing works

ZigBee wireless standard

Safaric, S., & Malarić, K. (2006) · Proceedings ELMAR-2011 · doi:10.1109/elmar.2006.329562 · Cited by 150 · see citing works

Smart wearable systems for personalised health management: current R&D and future challenges

Lymberis, A. (2004) · doi:10.1109/iembs.2003.1280967 · Cited by 73 · see citing works

Human Emotion Recognition: Review of Sensors and Methods

Dzedzickis, A., Kaklauskas, A., & Bučinskas, V. (2020) · Sensors · doi:10.3390/s20030592 · Cited by 596 · see citing works

Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review

Alberdi, A., Aztiria, A., & Basarab, A. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.11.007 · Cited by 477 · see citing works

Detecting Moments of Stress from Measurements of Wearable Physiological Sensors

Kyriakou, K., Resch, B., Sagl, G., Petutschnig, A., Werner, C., Niederseer, D., Liedlgruber, M., Wilhelm, F. H., Osborne, T., & Pykett, J. (2019) · Sensors · doi:10.3390/s19173805 · Cited by 242 · see citing works

A Flexible and Wearable Human Stress Monitoring Patch

Yoon, S., Sim, J. K., & Cho, Y.-H. (2016) · Scientific Reports · doi:10.1038/srep23468 · Cited by 151 · see citing works

A Facial-Expression Monitoring System for Improved Healthcare in Smart Cities

Muhammad, G., Alsulaiman, M., Amin, S. U., Ghoneim, A., & Alhamid, M. F. (2017) · IEEE Access · doi:10.1109/access.2017.2712788 · Cited by 138 · see citing works

Development and Progress in Sensors and Technologies for Human Emotion Recognition

Pal, S., Mukhopadhyay, S. C., & Suryadevara, N. K. (2021) · Sensors · doi:10.3390/s21165554 · Cited by 115 · see citing works

Machine Learning Based Solutions for Real-Time Stress Monitoring

Nath, R. K., Thapliyal, H., Caban‐Holt, A., & Mohanty, S. P. (2020) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.2993427 · Cited by 98 · see citing works

Emotion recognition from physiological signals

GOUIZI, K., BEREKSI REGUIG, F., & MAAOUI, C. (2011) · Journal of Medical Engineering & Technology · doi:10.3109/03091902.2011.601784 · Cited by 92 · see citing works

Assessment of Biofeedback Training for Emotion Management Through Wearable Textile Physiological Monitoring System

Wu, W., Zhang, H., Pirbhulal, S., Mukhopadhyay, S. C., & Zhang, Y. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2470638 · Cited by 92 · see citing works

The Feasibility of Wearable and Self-Report Stress Detection Measures in a Semi-Controlled Lab Environment

Aristizabal, S., Byun, K., Wood, N. G., Mullan, A. F., Porter, P., Campanella, C., Jamrozik, A., Nenadic, I., & Bauer, B. (2021) · IEEE Access · doi:10.1109/access.2021.3097038 · Cited by 50 · see citing works

Wearable Sensors and Systems in the IoT

Mukhopadhyay, S. C., Suryadevara, N. K., & Nag, A. (2021) · Sensors · doi:10.3390/s21237880 · Cited by 34 · see citing works

Large scale mood and stress self-assessments on a smartwatch

Hänsel, K., Alomainy, A., & Haddadi, H. (2016) · UbiComp Adjunct · doi:10.1145/2968219.2968305 · Cited by 32 · see citing works

Advancing Stress Detection Methodology with Deep Learning Techniques Targeting UX Evaluation in AAL Scenarios: Applying Embeddings for Categorical Variables

Liapis, A., Faliagka, E., Antonopoulos, C., Κεραμίδας, Γ., & Voros, N. S. (2021) · Electronics · doi:10.3390/electronics10131550 · Cited by 25 · see citing works

Virtual Reality as a Teaching Resource Which Reinforces Emotions in the Teaching Process

Ślósarz, L., Jurczyk-Romanowska, E., Rosińćzuk, J., & Kazimierska-Zając, M. (2022) · SAGE Open · doi:10.1177/21582440221118083 · Cited by 21 · see citing works

Wearable anger-monitoring system

Jha, V., Prakash, N., & Sagar, S. (2017) · ICT Express · doi:10.1016/j.icte.2017.07.002 · Cited by 21 · see citing works

Sensing Technologies for Intelligent Environments: A Review

Ghayvat, H., Mukhopadhyay, S. C., & Gui, X. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-12892-4_1 · Cited by 20 · see citing works

Wearable and ambient sensing for well-being and emotional awareness in the smart workplace

Hänsel, K. (2016) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2968219.2971360 · Cited by 20 · see citing works

Early Detection of Mental Stress Using Advanced Neuroimaging and Artificial IntelligencePreprint

Al-Shargie, F. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1903.08511 · Cited by 23 · see citing works

Towards a Smart Non-Invasive Fluid Loss Measurement System

Suryadevara, N. K., Mukhopadhyay, S. C., & Barrack, L. (2015) · Journal of Medical Systems · doi:10.1007/s10916-015-0206-6 · Cited by 15 · see citing works

Wearable Electronics Sensors: Current Status and Future Opportunities

Nag, A., & Mukhopadhyay, S. C. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-18191-2_1 · Cited by 14 · see citing works

A mobile lifelogging platform to measure anxiety and anger during real-life driving

Dobbins, C., & Fairclough, S. H. (2017) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917583 · Cited by 14 · see citing works

Ambient assisted living framework for elderly wellness determination through wireless sensor scalar data

Suryadevara, N. K., Chen, C.-P., Mukhopadhyay, S. C., & Rayudu, R. K. (2013) · International Conference on Sensing Technology · doi:10.1109/icsenst.2013.6727730 · Cited by 13 · see citing works

Universal Access in Human-Computer Interaction. Interaction Techniques and Environments

Stephanidis, C., & Antona, M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40244-4 · Cited by 13 · see citing works

Acoustic-Phonetic Feature Based Dialect Identification in Hindi Speech

Sinha, S., Jain, A., & Agrawal, S. S. (2015) · International Journal on Smart Sensing and Intelligent Systems · doi:10.21307/ijssis-2017-757 · Cited by 12 · see citing works

Are Technologies Assisted Homes Safer for the Elderly?

Mukhopadhyay, S. C., Suryadevara, N. K., & Rayudu, R. K. (2012) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-642-32538-0_2 · Cited by 10 · see citing works

[Regular Paper] Biomedical Data Acquisition and Processing to Recognize Emotions for Affective Learning

Gruenewald, A., Krönert, D., Pöhler, J., Brueck, R., Li, F., Littau, J., Schnieber, K., Piet, A., Grzegorzek, M., Kampling, H., et al. (2018) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2018.00031 · Cited by 10 · see citing works

Recognizing Human Emotion patterns by applying Fast Fourier Transform based on Brainwave Features

Yudhana, A., Mukhopadhyay, S. C., Karaş, İ. R., Azhari, A., Mardhia, M. M., Akbar, S. A., Muslim, A., & Ammatulloh, F. I. (2019) · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) · doi:10.1109/icimcis48181.2019.8985227 · Cited by 10 · see citing works

Designing a Smart Scarf to Influence Group Members' Emotions in Ambience: Design Process and User Experience

Guo, C., Chen, V. Y., Qian, C., Ma, Y., Dinh, H., & Anasingaraju, S. (2016) · Interacción · doi:10.1007/978-3-319-40244-4_38 · Cited by 8 · see citing works

Wireless Communication System For Monitoring Heart Rate In The Detection And Intervention Of Emotional Regulation

Irfan, S. A., Yudhana, A., Mukhopadhyay, S. C., Karaş, İ. R., Wati, D. E., & Puspıtasarı, I. (2019) · International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) · doi:10.1109/icimcis48181.2019.8985210 · Cited by 9 · see citing works

Virtual reality-based training for radiopharmaceutical administration: development and educational effectiveness

Kakimoto, A., Fujise, D., Hasegawa, S., Okuda, Y., Ohta, Y., Tani, R., Niwase, M., Miyamoto, K., Konishi, R., & Funahashi, M. (2025) · PLoS ONE · doi:10.1371/journal.pone.0321101 · Cited by 7 · see citing works

ADLs Recognition of an Elderly Person and Wellness Determination

Suryadevara, N. K., & Mukhopadhyay, S. C. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-13557-1_4 · Cited by 6 · see citing works

On-chip flexible multi-layer sensors for Human stress monitoring

Yoon, S., Sim, J. K., & Cho, Y.-H. (2014) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2014.6985133 · Cited by 6 · see citing works

EmoSens – The Proposal of System for Recognition of Emotion with SDK Affectiva and Various Sensors

Magdin, M., Kohútek, M., Koprda, Š., & Balogh, Z. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-26763-6_39 · Cited by 5 · see citing works

Ritchie’s Smart Watch Data Analytics and Visualization

Reddy, N. C. N., Ramesh, A., Rajkumar, R., & Masih, J. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-51859-2_70 · Cited by 4 · see citing works

Intelligent Detection of Facial Expression based on Image

Zhu, S., & Xiao, Y. (2015) · International Journal on Smart Sensing and Intelligent Systems · doi:10.21307/ijssis-2017-773 · Cited by 3 · see citing works

Measuring Students’ Stress with Mood Sensors: First Findings

Kajasilta, H., Apiola, M.-V., Lokkila, E., Veerasamy, A. K., & Laakso, M. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-35758-0_9 · Cited by 3 · see citing works

Sensor Activity Pattern (SAP) Matching Process and Outlier Detection

Suryadevara, N. K., & Mukhopadhyay, S. C. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-13557-1_6 · Cited by 3 · see citing works

Design and Deployment of WSN in a Home Environment and Real-Time Data Fusion

Suryadevara, N. K., & Mukhopadhyay, S. C. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-13557-1_3 · Cited by 3 · see citing works

Using Technology for Evaluation and Support of Patients’ Emotional States in Healthcare

Wilson, A. S., Prescott, J., & Krasniewicz, J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801737-1.00001-9 · Cited by 2 · see citing works

Forecasting the Behaviour of an Elderly Person Using WSN Data

Suryadevara, N. K., & Mukhopadhyay, S. C. (2015) · Smart sensors, measurement and instrumentation · doi:10.1007/978-3-319-13557-1_5 · Cited by 2 · see citing works

Sensor Headband for Emotion Recognition in a Virtual Reality Environment

Krönert, D., Grünewald, A., Li, F., Grzegorzek, M., & Brück, R. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-91211-0_47 · Cited by 2 · see citing works

Developing Intelligent Machines with Smart Sensors for a Smart Factory

Jumaah, A. M. S., & Xue, J. (2019) · International Journal of Scientific and Research Publications · doi:10.29322/ijsrp.9.10.2019.p9430 · Cited by 2 · see citing works

IOT in HealthCare: Smart Emotion Detector Utilizing Wearable Bio Sensors

Patil, M. N., & Surve, A. (2018) · IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology · doi:10.1109/rteict42901.2018.9012232 · Cited by 2 · see citing works

Human Stress Detection Technologies: An In‐Depth Comparison of Machine Learning Algorithms and Applications

Maji, S., Kanrar, S., Gupta, P., Sinha, A., Reza, M. S., Rao, G. M., Burje, S., Sinha, A. K., & Bhad, S. (2026) · The Journal of Engineering · doi:10.1049/tje2.70150 · Cited by 1 · see citing works

Wearable Sensing Approaches for Stress Recognition in Everyday Life

Hänsel, K. (2017) · doi:10.1145/3086467.3086470 · Cited by 1 · see citing works

Utilizing Sensor Platform as a Tool to Determine Stress by Game Genre

Salleh, F. N. B. M., bin Jusoh, A. J., bin Yusoff, A., & Samuri, S. M. (2015) · Annual International Conference on computer games multimedia & allied technology · doi:10.5176/2251-1679_cgat15.25

Biocueing for body awareness and emotion regulation for patients with borderline personality disorder: An exploratory multiple baseline designPreprint

Wolsink, E., Noordzij, M. L., & Chakhssi, F. (2022) · doi:10.31234/osf.io/mcj3v

Automated Classification of Happy and Sad Emotional States from PPG Signal Using Time Domain Analysis

Paul, A., Das, N., Pal, S., & Mitra, M. (2024) · Studies in autonomic, data-driven and industrial computing · doi:10.1007/978-981-99-5435-3_9

Research on measurement and optimization strategy of spatial health performance of winter city blocks in cold climate based on human factor data detection

Wu, Z., Hao, H., Zhang, Y., Li, X., & Liu, Y. (2026) · Transactions in Urban Data Science and Technology · doi:10.1177/27541231261416067

Continuous monitoring of physiological parameters using smart sensors

Quazi, M. T., & Mukhopadhyay, S. C. (2011) · International Conference on Sensing Technology · doi:10.1109/icsenst.2011.6137022 · Cited by 6 · see citing works

Human emotion recognition using smart sensors : a thesis submitted in fulfilment of the requirements for the degree of Master of Engineering in Electronics and Communication Engineering, School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand, February 2012

Quazi, M. T. (2012) · Massey Research Online (Massey University) · Cited by 5 · see citing works

Classification of Physiological Signals for Emotion Recognition using IoT

Tiwari, S., Agarwal, S., Syafrullah, M., & Adiyarta, K. (2019) · Proceeding of the Electrical Engineering Computer Science and Informatics · doi:10.23919/eecsi48112.2019.8977062 · Cited by 20 · see citing works

Design and Analysis of Smart Sensing System for Animal Emotions Recognition

Massawe, E., Kisangiri, M. F., Kaijage, S. F., & Seshaiyer, P. (2017) · International Journal of Computer Applications · doi:10.5120/ijca2017914797 · Cited by 7 · see citing works

Development of Emotion Detector Using Biometric

Shabin, S. V., Reena Benjamin, J., & B, J. R. D. (2023) · International Conference on Scientific Innovations in Science, Technology, and Management · doi:10.59544/nmli5686/ngcesi23p123