Activity and Location Recognition Using Wearable Sensors
IEEE Pervasive Computing
An Implicit Prioritized Access Protocol for Wireless Sensor Networks
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Indoor Navigation Using a Diverse Set of Cheap, Wearable Sensors
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Context Awareness by Analyzing Accelerometer Data
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
WearTrack: A Self-Referenced Head and Hand Tracker for Wearable Computers and Portable VR
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Micro-Accelerometer Based Hardware Interfaces for Wearable Computer Mixed Reality Applications
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
PadNET: Wearable Physical Activity Detection Network
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Developing an Integrated Wireless System for Fully Immersive Virtual Reality Environments
ISWC '04 Proceedings of the Eighth International Symposium on Wearable Computers
Pervasive Computing for Interactive Virtual Heritage
IEEE MultiMedia
Design and Implementation of WiMoCA Node for a Body Area Wireless Sensor Network
ICW '05 Proceedings of the 2005 Systems Communications
Bio-feedback System for Rehabilitation Based on a Wireless Body Area Network
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
3dID: a low-power, low-cost hand motion capture device
Proceedings of the conference on Design, automation and test in Europe: Designers' forum
Gesture signature for ambient intelligence applications: a feasibility study
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
A Self-organizing Approach to Activity Recognition with Wireless Sensors
IWSOS '09 Proceedings of the 4th IFIP TC 6 International Workshop on Self-Organizing Systems
A survey on wearable sensor-based systems for health monitoring and prognosis
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Wireless network of bipolar body electrodes
WONS'10 Proceedings of the 7th international conference on Wireless on-demand network systems and services
An overview of body sensor networks in enabling pervasive healthcare and assistive environments
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
A survey on wireless body area networks
Wireless Networks
Mobile Networks and Applications
Human Postures Recognition Based on D-S Evidence Theory and Multi-sensor Data Fusion
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Hi-index | 0.00 |
Wireless Body Area Sensor Networks (WBASN) are an emerging technology enabling the design of natural human---computer interfaces (HCI). Automatic recognition of human motion, gestures, and activities is studied in several contexts. For example, mobile computing technology is being considered as a replacement of traditional input systems. Moreover, body posture and activity monitoring can be used for entertainment and health-care applications. However, until now, little work has been done to develop flexible and efficient WBASN solutions suitable for a wide range of applications. Their requirements pose new challenges for sensor network designs, such as optimizing traditional solutions for use as environmental monitoring-like applications and developing on-the-field stress tests. In this paper, we demonstrate the flexibility of a custom-designed WBASN called WiMoCA with respect to a wide range of posture and activity recognition applications by means of practical implementation and on-the-field testing. Nodes of the network mounted on different parts of the human body exploit tri-axial accelerometers to detect its movements. The advanced digital Micro-electro-mechanical system (MEMS) based inertial sensor has been chosen for WiMoCA because it demonstrated high flexibility of use in many different situations, providing the chance to exploit both static and dynamic acceleration components for different purposes. Furthermore, the sensibility and accuracy of the sensing element is perfectly adequate for monitoring human movement, while keeping cost low and size compact, thus meeting our requirements. We implemented three types of applications, stressing the WBASN in many aspects. In fact, they are characterized by different requirements in terms of accuracy, timeliness, and computation distributed on sensing nodes. For each application, we describe its implementation, and we discuss results about performance and power consumption.