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Alessandro Montanari
Alessandro Montanari
Nokia Bell Labs - Computer Laboratory, Cambridge University
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Earables for Personal-Scale Behavior Analytics
F Kawsar, C Min, A Mathur, A Montanari
IEEE Pervasive Computing 17 (3), 83-89, 2018
1502018
A Study of Bluetooth Low Energy Performance for Human Proximity Detection in the Workplace
A Montanari, S Nawaz, C Mascolo, K Sailer
International Conference on Pervasive Computing and Communications (Percom), 2017
1182017
Resource characterisation of personal-scale sensing models on edge accelerators
M Antonini, TH Vu, C Min, A Montanari, A Mathur, F Kawsar
Proceedings of the First International Workshop on Challenges in Artificial ¡¦, 2019
622019
Head motion tracking through in-ear wearables
A Ferlini, A Montanari, C Mascolo, R Harle
Proceedings of the 1st International Workshop on Earable Computing, 8-13, 2019
442019
eSense: Open earable platform for human sensing
F Kawsar, C Min, A Mathur, A Montanari, UG Acer, M Van den Broeck
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems ¡¦, 2018
422018
ePerceptive: energy reactive embedded intelligence for batteryless sensors
A Montanari, M Sharma, D Jenkus, M Alloulah, L Qendro, F Kawsar
Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 382-394, 2020
342020
In-ear PPG for vital signs
A Ferlini, A Montanari, C Min, H Li, U Sassi, F Kawsar
IEEE Pervasive Computing 21 (1), 65-74, 2021
292021
A closer look at quality-aware runtime assessment of sensing models in multi-device environments
C Min, A Montanari, A Mathur, F Kawsar
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 271-284, 2019
282019
Automatic smile and frown recognition with kinetic earables
S Lee, C Min, A Montanari, A Mathur, Y Chang, J Song, F Kawsar
Proceedings of the 10th Augmented Human International Conference 2019, 1-4, 2019
28*2019
Surveying areas in developing regions through context aware drone mobility
A Montanari, F Kringberg, A Valentini, C Mascolo, A Prorok
Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks ¡¦, 2018
252018
Detecting emerging activity-based working traits through wearable technology
A Montanari, C Mascolo, K Sailer, S Nawaz
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous ¡¦, 2017
252017
Measuring interaction proxemics with wearable light tags
A Montanari, Z Tian, E Francu, B Lucas, B Jones, X Zhou, C Mascolo
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous ¡¦, 2018
232018
Understanding the Privacy Design Space for Personal Connected Objects
A Montanari, A Mashhadi, A Mathur, F Kawsar
30th British Human Computer Interaction Conference (British HCI 2016), 2016
212016
Non-invasive blood pressure monitoring with multi-modal in-ear sensing
H Truong, A Montanari, F Kawsar
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and ¡¦, 2022
172022
An early characterisation of wearing variability on motion signals for wearables
C Min, A Mathur, A Montanari, F Kawsar
Proceedings of the 2019 ACM International Symposium on Wearable Computers ¡¦, 2019
172019
Ultra-low power DNN accelerators for IoT: Resource characterization of the MAX78000
A Moss, H Lee, L Xun, C Min, F Kawsar, A Montanari
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems ¡¦, 2022
132022
A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices
S Gashi, C Min, A Montanari, S Santini, F Kawsar
Scientific Data 9 (1), 537, 2022
132022
Logic-based intelligence for batteryless sensors
A Bakar, T Rahman, A Montanari, J Lei, R Shafik, F Kawsar
Proceedings of the 23rd Annual International Workshop on Mobile Computing ¡¦, 2022
132022
Cross-modal approach for conversational well-being monitoring with multi-sensory earables
C Min, A Montanari, A Mathur, S Lee, F Kawsar
Proceedings of the 2018 ACM International Joint Conference and 2018 ¡¦, 2018
132018
FatigueSet: A multi-modal dataset for modeling mental fatigue and fatigability
M Kalanadhabhatta, C Min, A Montanari, F Kawsar
International Conference on Pervasive Computing Technologies for Healthcare ¡¦, 2021
122021
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