[1] T. Pisoni et al., “AUSILIA: Assisted unit for simulating independent living activities,” 2016 IEEE International Smart Cities Conference (ISC2), Trento, 2016, pp. 1-4.
doi: 10.1109/ISC2.2016.7580802
Abstract: The goal of this paper is to present AUSILIA, a project aimed at developing and integrating solutions to foster independent living of subjects affected by disabilities or recovering from traumas. AUSILIA exploits the synergies and competences acquired by the partners in the domain of assisted living and rehabilitation, implementing an advanced technological infrastructure capable of monitoring and analyzing the activities conducted by the users within the premises of the living lab. Thanks to the capability of carrying out automatic analysis of the ongoing events and the interaction of the user with the surrounding environment and objects, it will be possible to determine the best set of aids to support an independent living as soon as they return back home.
keywords: {assisted living;patient rehabilitation;AUSILIA;advanced technological infrastructure;assisted living;assisted unit;automatic analysis;independent living;living activities;living lab;Assistive technology;Intelligent sensors;Monitoring;Sensor systems;Systems architecture;Testing;assisted living;automatic monitoring;helthcare;rehabilitation;safety;smart architecture;well-being;wereable sensors},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7580802&isnumber=7580726
[2] A. Frattari, M. Dalprà, B. Bauer e L. Lucchetta, “Design of an Assisted Unit for Simulating Independent Living Activities,” 41st IAHS World Congress, 13-16th September 2016, Albuferira, Algave, Portugal.
[3] M. De Cecco, A. Fornaser, P. Tomasin, M. Zanetti, G. Guandalini, P. G. Ianes, F. Pilla, G. Nollo, M. Valente, T. Pisoni “Augmented Reality to enhance the clinician’s observation during assessment of daily living activities, ” 4th AVR International Conference, 12-15th June 2017, Ugento, Lecce, Italy.
[4] Abilitare ad abitare la propria casa: “Progetto AUSILIA” Linee evolutive – APPROCCI E METODI DELLA DISABILITA’ PSICOFISICA 1 – Dicembre 2018 rivista@gsh.it
[5] A. Grisenti et al., “Technological Infrastructure supports new paradigm of care for healthy aging: The Living Lab Ausilia”, 10° Forum ItalianoAmbient Assisted Living, 19-21 Giugno 2019, Ancona, Italia.
Abstract: Living labs are spaces where public and private stakeholders work together to develop and prototype new products, technologies and services in real environments embedded in the community or market place. This paper outlines the approach chosen by AUSILIA (Assisted Unit for Simulating Independent Living Activities), a living lab established in Provincia Autonoma di Trento in 2016 to develop an innovation model for taking care of the elderly or disabled patient by fusion of technology innovation and patient centered integrated care approach. AUSILIA goal is triple: i. to provide an innovative framework based on augmented virtual reality for occupational therapy in ageing and fragile individuals; ii. to help people who are losing autonomy and independence living at home reducing care burden; iii. warrant continuous innovation through the mixed contribution of the academy and private enterprise. The paper describes the specific solutions adopted for the three objectives, reporting an implementation example for each of them.
[6] Butaslac, I. I., Luchetti, A., Parolin, E., Fujimoto, Y., Kanbara, M., De Cecco, M., & Kato, H. (2020, September). The Feasibility of Augmented Reality as a Support Tool for Motor Rehabilitation. In International Conference on Augmented Reality, Virtual Reality and Computer Graphics (pp. 165-173). Springer, Cham.
[7] D’Agostini, J., Bonetti, L., Salem, A., Passerini, L., Fiacco, G., Lavanda, P., … & De Cecco, M. (2018, April). An augmented reality virtual assistant to help mild cognitive impaired users in cooking a system able to recognize the user status and personalize the support. In 2018 Workshop on Metrology for Industry 4.0 and IoT (pp. 12-17). IEEE.
[8] De Paolis, L. T., & Bourdot, P. (2020). Augmented Reality, Virtual Reality, and Computer Graphics: 7th International Conference, AVR 2020, Lecce, Italy, September 7-10, 2020, Proceedings. Part II. Springer Nature.
[9] Fornaser, A., Mizumoto, T., Suwa, H., Yasumoto, K., & De Cecco, M. (2018). The influence of measurements and feature types in automatic micro-behavior recognition in meal preparation. IEEE Instrumentation & Measurement Magazine, 21(6), 10-14.
[10] Fornaser, A., De Cecco, M., Tomasin, P., Zanetti, M., Guandalini, G., Gasperini, B., … & Ghensi, R. (2018, October). Augmented virtualized observation of hidden physical quantities in occupational therapy. In 2018 International Conference on Cyberworlds (CW) (pp. 423-426). IEEE.
[11] Fornaser, A., Tomasin, P., De Cecco, M., Tavernini, M., & Zanetti, M. (2017). Automatic graph based spatiotemporal extrinsic calibration of multiple Kinect V2 ToF cameras. Robotics and Autonomous Systems, 98, 105-125.
[12] Garau, N., De Natale, F. G., & Conci, N. (2020). Fast automatic camera network calibration through human mesh recovery. Journal of Real-Time Image Processing, 17(6), 1757-1768
[13] Ianes, P., Guandalini, G., Ty, J. F., Okahashi, S., Plopski, A., Kato, H., & De Cecco, M. (2019, October). Augmented Reality to Enhance the Clinical Eye: The Improvement of ADL Evaluation by Mean of a Sensors Based Observation. In Virtual Reality and Augmented Reality: 16th EuroVR International Conference, EuroVR 2019, Tallinn, Estonia, October 23–25, 2019, Proceedings (Vol. 11883, p. 291). Springer Nature.
[14] Johnson, I., & Ianes, P. (2018). Frail Elderly Persons and Smart Home Technologies. In Rehabilitation Medicine for Elderly Patients (pp. 119-123). Springer, Cham.
[15] Luchetti, A., Parolin, E., Butaslac, I., Fujimoto, Y., Kanbara, M., Bosetti, P., … & Kato, H. (2020, November). Stepping over Obstacles with Augmented Reality based on Visual Exproprioception. In 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 96-101). IEEE.
[16] Molinari, A., & Nollo, G. (2020, June). The quality concerns in health care Big Data. In 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON) (pp. 302-305). IEEE.
[17] Pasinetti, S., Fornaser, A., Lancini, M., De Cecco, M., & Sansoni, G. (2019). Assisted gait phase estimation through an embedded depth camera using modified Random Forest algorithm classification. IEEE Sensors Journal, 20(6), 3343-3355.
[18] Sebastiani, M., Garau, N., De Natale, F., & Conci, N. (2019). Joint Trajectory and Fatigue Analysis in Wheelchair Users. In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (pp. 0-0).
[19] Stocco, M., Luchetti, A., Tomasin, P., Fornaser, A., Ianes, P., Guandalini, G., … & De Cecco, M. (2019, October). Augmented reality to enhance the clinical eye: The improvement of adl evaluation by mean of a sensors based observation. In International Conference on Virtual Reality and Augmented Reality (pp. 291-296). Springer, Cham.
[20] Tessarolo, F., Nollo, G., Conotter, V., Onorati, G., Konstantinidis, E. I., Petsani, D., & Bamidis, P. D. (2019, June). User-centered co-design and AGILE methodology for developing ambient assisting technologies: Study plan and methodological framework of the CAPTAIN project. In 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT) (pp. 283-286). IEEE.
[21] Zanetti, M., Faes, L., De Cecco, M., Fornaser, A., Valente, M., Guandalini, G., & Nollo, G. (2018, July). Assessment of mental stress through the analysis of physiological signals acquired from wearable devices. In Italian Forum of Ambient Assisted Living (pp. 243-256). Springer, Cham.
[22] Zanetti, M., Mizumoto, T., Faes, L., Fornaser, A., De Cecco, M., Maule, L., … & Nollo, G. (2019). Multilevel assessment of mental stress via network physiology paradigm using consumer wearable devices. Journal of Ambient Intelligence and Humanized Computing, 1-10.
[23] Zanetti, M., Faes, L., Nollo, G., De Cecco, M., Pernice, R., Maule, L., … & Fornaser, A. (2019). Information dynamics of the brain, cardiovascular and respiratory network during different levels of mental stress. Entropy, 21(3), 275.
[24] Zanetti, M., De Cecco, M., & Nollo, G. AUSILIA, a Project that involves Enterprises, Territorial Services and Citizens.
[25] Zanetti, M. (2019). Integrated Measurements of Stress, Motion Capture and Environmental Parameters for Ambient Assisted Living Scenarios (Doctoral dissertation, University of Trento).
[26] Zanetti, M., Nollo, G., & De Cecco, M. Living Lab, an Innovative Approach in Healthcare.
[27] Zanetti, M., Nollo, G., & De Cecco, M. Customization of Assistive Solutions in a Smart City Context.
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[29] Zanetti, M., Nollo, G., & De Cecco, M. Physiological Signals for Stress Measurements.
[30] Valente, M., & Nollo, G. Wireless body area networks: a new paradigm of personal smart health.