ISCRAM Digital Library -- Query Results

Rajesh M. Hegde, B.S. Manoj, Bashkar D. Rao, & Ramesh R. Rao. (2006). Emotion detection from speech signals and its applications in supporting enhanced QoS in emergency response. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 82–91). Newark, NJ: Royal Flemish Academy of Belgium. Abstract: Networking in the event of disasters requires new hybrid wireless architectures such as Wireless Mesh Networks (WMNs). Provisioning Quality of Service (QoS) in such networks which are quickly deployed during emergencies demand radical solutions. In this paper, we provide a new QoS approach for voice calls over a wireless mesh networks during emergency situations. According to our scheme, the contention and back-off parameters are modified based on the emotion content in the voice streams. This paper also looks at methods for detecting emotion from an incoming voice call using the speech signal. The issues of interest in such situations are whether the caller is in a state of extreme panic, moderate panic, or in a normal state of behavior. The communication network behavior should be modified to provide differentiated QoS for calls based on the degree of emotion. We use several features extracted from the speech signal like the range of pitch variation, energy in the critical bark band, range of the first three formant variations, and speaking rate among others to discriminate between the three emotional states. At the back end the Gaussian mixture modeling techniques is used to model the three emotional states of the speaker. Since a large number of features increase the computational complexity and time, a feature selection technique is employed based on the Bhattacharya distance, to select the set of features that give maximum discrimination between the classes. These set of features are employed to simulate an emotion recognition system. The results indicate a promising emotion detection rate for the three emotions. We also present the early results on detecting the emotion content in the speech and using this in the MAC layer differentiated QoS provisioning scheme. Our scheme provides an end-to-end delay performance improvement for panicked calls as high as 60% compared to normal calls. Keywords: Feature extraction; Information systems; MESH networking; Network layers; Speech processing; Throughput; Wireless mesh networks (WMN); Emotion detection; Gmm; MAC layer; Networking; Vq; Quality of service Track: COMMUNICATION CHALLENGES IN EMERGENCY RESPONSE http://idl.iscram.org/show.php?record=566
Diego Klappenbach, Silvia Hollfelder, Andreas Meissner, & Stefan Wilbert. (2004). From analog voice radio to ICT: Data communication and data modeling for the German NBC Reconnaissance Vehicle. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management (pp. 145–150). Brussels: Royal Flemish Academy of Belgium. Abstract: In Germany, the public safety system is largely organized by the German Federal States, which operate, among other equipment, a fleet of Nuclear, Biological and Chemical Reconnaissance Vehicles (NBC RVs) to take measurements in contaminated areas. Currently, the NBC RVs, which have been centrally designed and procured by the German Center for Civil Defense, verbally report measured values to a Central Control Unit (CCU) over the assigned Public Safety Organization (PSO) analog voice radio channel. This procedure has several disadvantages. The channel is not secure, puts a natural limit on the achievable throughput and thus on the number of NBC RVs that can be operational simultaneously. Also, while data is being reported, other PSO members are blocked from sending. Finally, a proprietary model is used to structure the NBC RV data, so the data can only be aggregated and evaluated at the CCU but not by any other PSO unit. To overcome these problems, we propose in this paper a heterogeneous and flexible communication platform that complies with reliability and coverage requirements for PSO. More specifically, our proposed system is designed to replace current ways of communicating between NBC RVs and the CCU. We also propose to standardize data structures for data exchange to enable PSO cooperation. A drastically higher number of measured values can then be transmitted to the CCU, and the data can be processed in a much more effective manner in the CCU as well as in cooperating PSO task forces. Ultimately, this will improve NBC RV missions and consequently shorten PSO response time when dealing with NBC disasters. Â© Proceedings ISCRAM 2004. Keywords: Chemical equipment; Electronic data interchange; Information systems; Wireless telecommunication systems; Achievable throughputs; Flexible communication; Nuclear; biological and chemical reconnaissances; Public safety; Public safety systems; Reconnaissance vehicle; Reliable communication; Wireless communications; Fleet operations Track: Emergency Response ICT http://idl.iscram.org/show.php?record=141

Abstract: Networking in the event of disasters requires new hybrid wireless architectures such as Wireless Mesh Networks (WMNs). Provisioning Quality of Service (QoS) in such networks which are quickly deployed during emergencies demand radical solutions. In this paper, we provide a new QoS approach for voice calls over a wireless mesh networks during emergency situations. According to our scheme, the contention and back-off parameters are modified based on the emotion content in the voice streams. This paper also looks at methods for detecting emotion from an incoming voice call using the speech signal. The issues of interest in such situations are whether the caller is in a state of extreme panic, moderate panic, or in a normal state of behavior. The communication network behavior should be modified to provide differentiated QoS for calls based on the degree of emotion. We use several features extracted from the speech signal like the range of pitch variation, energy in the critical bark band, range of the first three formant variations, and speaking rate among others to discriminate between the three emotional states. At the back end the Gaussian mixture modeling techniques is used to model the three emotional states of the speaker. Since a large number of features increase the computational complexity and time, a feature selection technique is employed based on the Bhattacharya distance, to select the set of features that give maximum discrimination between the classes. These set of features are employed to simulate an emotion recognition system. The results indicate a promising emotion detection rate for the three emotions. We also present the early results on detecting the emotion content in the speech and using this in the MAC layer differentiated QoS provisioning scheme. Our scheme provides an end-to-end delay performance improvement for panicked calls as high as 60% compared to normal calls.

Keywords: Feature extraction; Information systems; MESH networking; Network layers; Speech processing; Throughput; Wireless mesh networks (WMN); Emotion detection; Gmm; MAC layer; Networking; Vq; Quality of service

Track: COMMUNICATION CHALLENGES IN EMERGENCY RESPONSE

http://idl.iscram.org/show.php?record=566

Abstract: In Germany, the public safety system is largely organized by the German Federal States, which operate, among other equipment, a fleet of Nuclear, Biological and Chemical Reconnaissance Vehicles (NBC RVs) to take measurements in contaminated areas. Currently, the NBC RVs, which have been centrally designed and procured by the German Center for Civil Defense, verbally report measured values to a Central Control Unit (CCU) over the assigned Public Safety Organization (PSO) analog voice radio channel. This procedure has several disadvantages. The channel is not secure, puts a natural limit on the achievable throughput and thus on the number of NBC RVs that can be operational simultaneously. Also, while data is being reported, other PSO members are blocked from sending. Finally, a proprietary model is used to structure the NBC RV data, so the data can only be aggregated and evaluated at the CCU but not by any other PSO unit. To overcome these problems, we propose in this paper a heterogeneous and flexible communication platform that complies with reliability and coverage requirements for PSO. More specifically, our proposed system is designed to replace current ways of communicating between NBC RVs and the CCU. We also propose to standardize data structures for data exchange to enable PSO cooperation. A drastically higher number of measured values can then be transmitted to the CCU, and the data can be processed in a much more effective manner in the CCU as well as in cooperating PSO task forces. Ultimately, this will improve NBC RV missions and consequently shorten PSO response time when dealing with NBC disasters. Â© Proceedings ISCRAM 2004.