Items where Author is "Zhong, J"

NASER, A., LOTFI, A., MWANJE, M.D. and ZHONG, J., 2022. Privacy-preserving, thermal vision with human in the loop fall detection alert system. IEEE Transactions on Human-Machine Systems. ISSN 2168-2291

ZHONG, J., LI, J., LOTFI, A., LIANG, P. and YANG, C., 2022. An incremental cross-modal transfer learning method for gesture interaction. Robotics and Autonomous Systems, 155: 104181. ISSN 0921-8890

NASER, A., LOTFI, A. and ZHONG, J., 2022. Contactless sleep quality monitoring through thermal vision. In: PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments. New York, NY: Association for Computing Machinery (ACM). ISBN 9781450396318

NASER, A., LOTFI, A. and ZHONG, J., 2022. Calibration of low-resolution thermal imaging for human monitoring applications. IEEE Sensors Letters. ISSN 2475-1472

NASER, A., LOTFI, A. and ZHONG, J., 2022. Multiple thermal sensor array fusion towards enabling privacy-preserving human monitoring applications. IEEE Internet of Things Journal. ISSN 2327-4662

NASER, A., LOTFI, A. and ZHONG, J., 2021. A novel privacy-preserving approach for physical distancing measurement using thermal sensor array. In: The 14th ACM International Conference on PErvasive Technologies Related to Assistive Environments PETRA 2021. Conference proceedings. Association for Computing Machinery (ACM), pp. 81-85. ISBN 9781450387927

NASER, A., LOTFI, A. and ZHONG, J., 2021. Towards human distance estimation using a thermal sensor array. Neural Computing and Applications. ISSN 0941-0643

ZHONG, J., LING, C., CANGELOSI, A., LOTFI, A. and LIU, X., 2021. On the gap between domestic robotic applications and computational intelligence. Electronics, 10 (7): 793. ISSN 2079-9292

ZHONG, J. and LOTFI, A., 2020. Sensor2Vec: an embedding learning for heterogeneous sensors for activity classification. In: 2020 International Symposium on Community-centric Systems (CcS). Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781728187426

NASER, A., LOTFI, A. and ZHONG, J., 2020. Adaptive thermal sensor array placement for human segmentation and occupancy estimation. IEEE Sensors Journal. ISSN 1530-437X

NASER, A., LOTFI, A., ZHONG, J. and HE, J., 2020. Human activity of daily living recognition in presence of an animal pet using thermal sensor array. In: PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-6. ISBN 9781450377737

NASER, A., LOTFI, A., ZHONG, J. and HE, J., 2020. Heat-map based occupancy estimation using adaptive boosting. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): 2020 conference proceedings. Piscataway, NJ: IEEE. ISBN 9781728169323

ZHONG, J., HAN, T., LOTFI, A., CANGELOSI, A. and LIU, X., 2019. Bridging the gap between robotic applications and computational intelligence in domestic robotics. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019. Institute of Electrical and Electronics Engineers (IEEE), pp. 1445-1452. ISBN 9781728124858

ZHONG, J., PENIAK, M., TANI, J., OGATA, T. and CANGELOSI, A., 2019. Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs. Autonomous Robots, 43 (5), pp. 1271-1290. ISSN 0929-5593

ZHONG, J., OGATA, T., CANGELOSI, A. and YANG, C., 2019. Disentanglement in conceptual space during sensorimotor interaction. Cognitive Computation and Systems, 1 (4), pp. 103-112. ISSN 2517-7567

ZENG, C., YANG, C., ZHONG, J. and ZHANG, J., 2019. Encoding multiple sensor data for robotic learning skills from multimodal demonstration. IEEE Access, 7, pp. 145604-145613. ISSN 2169-3536

LI, Y., ZHOU, X., ZHONG, J. and LI, X., 2019. Robotic impedance learning for robot-assisted physical training. Frontiers in Robotics and AI, 6: 78. ISSN 2296-9144

ZHONG, J. and LI, Y., 2019. Toward human-in-the-Loop PID control based on CACLA reinforcement learning. In: H. YU, J. LIU, L. LIU, Z. JU, Y. LIU and D. ZHOU, eds., Intelligent robotics and applications: 12th International Conference (ICIRA 2019), Shenyang, China, August 8–11 2019. Proceedings, Part 1. Lecture notes in computer science, 11742 . Cham, Switzerland: Springer, pp. 605-613. ISBN 9783030275259

ZHANG, X., ZHANG, J. and ZHONG, J., 2018. Toward navigation ability for autonomous mobile robots with learning from demonstration paradigm. International Journal of Advanced Robotic Systems, 15 (3). ISSN 1729-8814