List of Publications
This is a list of the works done by our group using this dataset:
- Arindam Jati, Amrutha Nadarajan, Raghuveer Peri, Karel Mundnich, Tiantian Feng, Benjamin Girault, and Shrikanth Narayanan. Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction. Proceedings of IEEE/ACM Transactions on Audio, Speech and Language Processing. 2021
- Booth, B.M. & Narayanan, S.S. , "Trapezoidal Segmented Regression: A Novel Continuous-scale Real-time Annotation Approximation Algorithm," 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, United Kingdom, 2019, pp. 600-606, doi: 10.1109/ACII.2019.8925468.
- Booth, B.M., Feng, T., Jangalwa, A. & Narayanan, S. (2019) TOWARD ROBUST INTERPRETABLE HUMAN MOVEMENT PATTERN ANALYSIS IN A WORKPLACE SETTING. Proceedings of ICASSP, Brighton, UK, May 2019.
- Booth, B.M., Mundnich., K., Feng., T., Nadarajan, A., Falk, T.H., Villatte, J.L., Ferrara, E. & Narayanan, S. (2019) Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management. J Med Internet Res 2019;21(8):e12832
- Cassani, R., Narayanan, S., & Falk, T., (2018) Respiration Rate Estimation from Noisy Electrocardiograms Based on Modulation Spectral Analysis, in Proceedings of the Canadian Medical and Biological Engineering Conference, (ACCES23-CMBEC41 Joint Conference), Charlottetown PEI, Canada, May 2018.
- Feng, T. & Narayanan, S. (2019) Discovering Optimal Variable-length Time Series Motifs in Large-Scale Wearable Recordings of Human Bio-behavioral Signals. Proceedings of ICASSP, Brighton, UK, May 2019.
- Feng, T. & Narayanan, S. (2019) Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation. Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), Berlin Germany, July 2019.
- Feng, T. and Narayanan, S.S., 2020, May. Modeling Behavioral Consistency in Large-Scale Wearable Recordings of Human Bio-Behavioral Signals. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1011-1015). IEEE.
- Feng, T. and Narayanan, S.S. "Modeling Human Movement Behavior Among Nursing Profession," 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 4256-4260, doi: 10.1109/EMBC44109.2020.9176318.
- Feng, T., Nadarajan, A., Vaz, C., Booth, M.B., & Narayanan, S. (2018) TILES Audio Recorder: An unobtrusive wearable solution to track audio activity. In WearSys '18: 4th ACM Workshop on Wearable Systems and Applications, Munich, Germany, June 2018.
- Feng, T., Booth, B. M. & Narayanan, S.S. "Modeling Behavior as Mutual Dependency between Physiological Signals and Indoor Location in Large-Scale Wearable Sensor Study," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 1016-1020, doi: 10.1109/ICASSP40776.2020.9054307.
- Girault, B., Ortega, A. and Narayayan, S.S., 2020, May. Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5670-5674). IEEE.
- Benjamin Girault, Antonio Ortega and Shrikanth Narayanan. Irregularity-Aware Graph Fourier Transforms. IEEE Transactions on Signal Processing. 66(21): 5746-5761, 2018
- Hadjiantonis, G., Paromita, P., Mundnich, K., Nadarajan, A., Booth, B.M., Narayanan, S. and Chaspari, T., 2020, July. Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 284-287). IEEE.
- Hodas, N. O., Hunter, J., Young, S. J., & Lerman, K. (2018). Model of cognitive dynamics predicts performance on standardized tests. Journal of Computational Social Science, 1(2), 295-312.
- Hosseinmardi, H., Ghasemian, A., Narayanan, S., Lerman, K., & Ferrara, E. (2018). Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. arXiv preprint arXiv:1808.10867.
- Kao, H. T., Hosseinmardi, H., Yan, S., Hasan, M., Narayanan, S., Lerman, K., & Ferrara, E. (2018, November). Discovering latent psychological structures from self-report assessments of hospital workers. In 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC) (pp. 156-161). IEEE. [Best paper award at BESC 2018 for "Distinguished Research on Digital Humanities”]
- L'Hommedieu M, L'Hommedieu J, Begay C, Schenone A, Dimitropoulou L, Margolin G, Falk T, Ferrara E, Lerman K, Narayanan S, Lessons Learned: Recommendations For Implementing a Longitudinal Study Using Wearable and Environmental Sensors in a Health Care Organization JMIR Mhealth Uhealth DOI: 10.2196/13305 2019;7(12):e13305.
- Mundnich, K., Booth, B. M., L'Hommedieu, M., Feng, T., Girault, B., L'Hommedieu, J., Wildman, M., Skaaden, S., Nadarajan, A., Villatte, J. L., Falk, T. H., Lerman, K., Ferrara, E., & Narayanan, S. (2020). TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers. Scientific data, 7(1), 354.
- Mundnich, K., Girault, B. & Narayanan, S. (2019) Bluetooth based Indoor Localization using Triplet Embeddings. Proceedings of ICASSP, Brighton, UK, May 2019.
- Nadarajan, A., Somandepalli, K. & Narayanan., S. (2019) SPEAKER AGNOSTIC FOREGROUND SPEECH DETECTION FROM AUDIO RECORDINGS IN WORKPLACE SETTINGS FROM WEARABLE RECORDERS. Proceedings of ICASSP, Brighton, UK, May 2019.
- "Ravuri, V., Paromita, P., Mundnich, K., Nadarajan, A., Booth, B.M., Narayanan, S.S. & Chaspari, Th. ""Group-specific models of healthcare workers’ well-being using iterative participant clustering."" In 2020 Second International Conference on Transdisciplinary AI (TransAI), Irvine, CA, USA, 2020 pp. 115-118.
- Tavabi, N., Hosseinmardi, H., Villatte, J.L., Abeliuk, A., Narayanan, S.S., Ferrara, E. & Lerman, K. Learning Behavioral Representations from Wearable Sensors. In: Thomson R., Bisgin H., Dancy C., Hyder A., Hussain M. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2020. Lecture Notes in Computer Science, vol 12268. Springer, Cham.
- "Tiwari, A., Narayanan, S. & Falk, T.H. (2019) Breathing Rate Complexity Features for “In-the-Wild” Stress and Anxiety Measurement. 27th European Signal Processing Conference, EUSIPCO 2019"
- Tiwari, A., Narayanan, S. & Falk. T.H. (2019) A Comparative Study of Stress and Anxiety Estimation in Ecological Settings Using a Smart-shirt and a Smart-bracelet. Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’19), Berlin Germany, July 2019.
- "Tiwari, A., Villatte, J.L., Narayanan, S. & Falk, T.H. (2019) Prediction of Psychological Flexibility with multi-scale Heart Rate Variability and Breathing Features in an “in-the-wild” Setting. 8th International Conference on Affective Computing and Intelligent Interaction (ACII)".
- Wildman, M., Eulogio, R., Singh, R., Ramirez, E., Foschini, L., Nadarajan, A., Booth, B., Mundnich, K., Ferrara, E., Lerman, K. & Narayanan, S. (2018) Comparison of Heart Rate Measurement Between the Fitbit Charge 2 and OMsignal Smart Garments: A Free Living Study. Annals of Behavioral Medicine, vol. 53, pp. S81-S81.
- Yan, S., Hosseinmardi, H., Kao, H.T., Narayanan, S., Lerman, K. & Ferrara, E. (2019) Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. Proceedings of the 7th IEEE Conference on Healthcare Informatics (ICHI2019), Beijing, China, June 2019.
- Yan, S., Hosseinmardi, H., Kao, HT. et al. Affect Estimation with Wearable Sensors. J Healthc Inform Res 4, 261–294 (2020).