Research challenges in environmental observation and forecasting systems
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Wireless Sensor Placement For Reliable and Efficient Data Collection
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5 - Volume 5
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Near-optimal sensor placements: maximizing information while minimizing communication cost
Proceedings of the 5th international conference on Information processing in sensor networks
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
IEEE Communications Magazine
Augmented reality to enhance visitors experience in a digital zoo
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Tracking and Identification of Animals for a Digital Zoo
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Hi-index | 0.00 |
This paper proposes an intuitive wireless sensor/actuator based communication network for human animal interaction for a digital zoo. In order to enhance effective observation and control over wild life, we have built a wireless sensor network. 25 video transmitting nodes are installed for animal behavior observation and experimental vibrotactile collars have been designed for effective control in an animal park. The goal of our research is two-folded. Firstly, to provide an interaction between digital users and animals, and monitor the animal behavior for safety purposes. Secondly, we investigate how animals can be controlled or trained based on vibrotactile stimuli instead of electric stimuli. We have designed a multimedia sensor network for human animal machine interaction. We have evaluated the effect of human animal machine state communication model in field experiments.