초록 ▼

An information and control system for personnel transport devices. In one embodiment, the information and control system is coupled to the elevator system of a building, and includes a touch panel input device, a flat panel display having a touch sensitive screen, and speech recognition and synthesi

An information and control system for personnel transport devices. In one embodiment, the information and control system is coupled to the elevator system of a building, and includes a touch panel input device, a flat panel display having a touch sensitive screen, and speech recognition and synthesis systems serving each elevator car. The speech recognition and synthesis systems and input device(s) are operatively coupled to a processor and storage devices having a plurality of different types of data stored thereon. Each elevator car is also a client connected to a LAN, WAN, intranet, or Internet, and capable of exchanging data with and retrieving data therefrom. Functions performed by the information and control system include a voice-actuated building directory, download of selected data to personal electronic devices (PEDs), monitoring of areas adjacent to the elevator car on destination floors, and control of lighting and security monitoring in selectable areas of destination floors. The system is also optionally fitted with an RFID interrogator/reader capable of recognizing RFID tags carried by passengers on the elevator, thereby granting access to various controlled locations automatically after password authentication. The RFID system also allows the authenticated passenger(s) to control utilities such as lighting and HVAC within specific zones on their destination floors. The information and control system is also optionally equipped with an occupancy estimating sub-system which allows elevator cars to bypass calling floors when their capacity is reached or exceeded.

대표청구항 ▼

An information and control system for personnel transport devices. In one embodiment, the information and control system is coupled to the elevator system of a building, and includes a touch panel input device, a flat panel display having a touch sensitive screen, and speech recognition and synthesi

An information and control system for personnel transport devices. In one embodiment, the information and control system is coupled to the elevator system of a building, and includes a touch panel input device, a flat panel display having a touch sensitive screen, and speech recognition and synthesis systems serving each elevator car. The speech recognition and synthesis systems and input device(s) are operatively coupled to a processor and storage devices having a plurality of different types of data stored thereon. Each elevator car is also a client connected to a LAN, WAN, intranet, or Internet, and capable of exchanging data with and retrieving data therefrom. Functions performed by the information and control system include a voice-actuated building directory, download of selected data to personal electronic devices (PEDs), monitoring of areas adjacent to the elevator car on destination floors, and control of lighting and security monitoring in selectable areas of destination floors. The system is also optionally fitted with an RFID interrogator/reader capable of recognizing RFID tags carried by passengers on the elevator, thereby granting access to various controlled locations automatically after password authentication. The RFID system also allows the authenticated passenger(s) to control utilities such as lighting and HVAC within specific zones on their destination floors. The information and control system is also optionally equipped with an occupancy estimating sub-system which allows elevator cars to bypass calling floors when their capacity is reached or exceeded. Models for Speech, Institute of Defense Analyses, Princeton, NJ. 1980. I. Guyon and P. Wang editors, Advances in Pattern Recognition Systems using Neural Networks, vol. 7 of a Series in Machine Perception and Artificial Intelligence. World Scientific, Feb. 1994. L. Travis, "Handbook of Speech Pathology," Appleton-Century-Crofts, Inc., 1957, pp. 91-124. L.E. Baum, T. Petrie, "Statistical Inference for Probabilistic Functions for Finite State Markov Chains," The Annals of Mathematical Statistics, 37: 1554-1563, 1966. P. Lieberman, "Intonation, Perception and Language," Research Monograph No. 38, MIT Press, Cambridge, Mass., 1967, pp. 5-37. L.E. Baum et al, "A Maximization Technique Occuring in the Statistical Analysis of Probabilistic Functions of Markov Chains," The Annals of Mathematical Statistics, 1970, vol. 41, No. 1, pp. 164-171. J.L. Flanagan, "Speech Analysis Synthesis and Perception," 2ndedition, Springer-Verlag Berlin, 1972, pp. 1-53. L.E. Baum, "An Inequality and Associated Maximation Technique in Statistical Estimation for Probabilistic Functions of Markov Processes," Inequalities-III, pp. 1-8, 1972. G.D. Forney, "The Viterbi Algorithm," Proceedings of the IEEE, vol. 73, pp. 268-278, Mar. 1973. H.R. Rabiner, "Digital Processing of Speech Signals," Prentice Hall, 1978, pp. 116-171; 355-395. F. Jelinek et al, "Continuous Speech Recognition: Statistical Methods," Handbook of Statistics, vol. 2, P.R. Krishnaiah, Ed. Amsterdam, The Netherlands, North-Holland, 1982, pp. 549-573. L.R. Bahl, F. Jeninek, R.L. Mercer, "A Maximum Likelihood Approach to Continuous Speech Recongnition," IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-5, pp. 179-190, Mar. 1983. R.A. Hudson, "Word Grammar," Blackman Inc., Cambridge, MA, 1984, pp. 1-14; 41-42; 76-90; 94-98; 106-109; 211-220. R. Quirk, S. Greenbaum, G. Leech and J. Svartvik, "A Comprehensive Grammar of English Language," Longman, London and New York, 1985, pp. 245-331. J. Makhoul, S. Roucos, H. Gish, "Vector Quantization in Speech Coding," Proceedings of the IEEE, vol. 73, No. 11, Nov. 1985, pp. 1551-1588. L. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition," Proceedings of the IEEE, vol. 77, No. 2, Feb. 1989, pp. 257-286. A. Gersho and R.M. Gray, "Vector Quantization and Signal Compression," Kluwer Academic Publishers, 1991, pp. 309-340. H.R. Rabiner and B.H. Juang, "Fundamentals of Speech Recognition," Prentice Hall, 1993, pp. 11-68. Nelson Morgan, Herve Bourlard, Steve Renals, Michael Cohen and Horacio Franco, "Hybrid Neural Network/Hidden Markov Model Systems for Continuous Speech Recognition," Journal of Pattern Recognition and Artificial Intelligence, vol. 7, No. 4, 1993, pp. 899-916.