Sensor Applications

Placing sensors in various areas to collect physical data for real time analysis allows ubiquitous computing to become realistic. As technologies advance, the potential applications for Wireless Sensor Networks are broad and varied. Accurate data collection gathered directly from the area of interest can help our understanding of our environment, aid assisted living, improve disease management, give real-time business information, and increase operational efficiency and value growth.

Shimmer – Sensing Solutions

An example of some of the application areas Shimmer can be utilised in are as follows:

• Human Health Monitoring: Shimmer units strategically placed on the human body can monitor various vital signs, cognitive awareness, gait, limb motion, and sleep providing real-time feedback to the user and medical personnel

• Activities of Daily Living: Shimmer can also be deployed into a patient’s home environment to provide real time and extended monitoring of activity and well-being.

• Sports Science: Shimmer can be utilised to monitor and record fitness and performance of athletes, as well as improving the biomechanics of sports techniques.

• Structural Monitoring: Shimmers can be deployed on buildings to inspect the excitation effects of wind or earthquakes.

• Defence: The defence sector is said to have pioneered wireless sensor technology for use in tactical operations, situation / surrounding analysis, and motion detection.

• Business Information: Real time information can improve operational efficiency, monitor and detect variations in manufacturing process, and reduce energy costs.

• Intelligent Buildings: Shimmer sensors can be utilised to provide ubiquitous sensing to reduce energy consumption, and control building atmosphere.

• Environmental and Habitat Monitoring:

A world of Information …

Shimmer will capture and transfer data to the required location, whether that is a laptop, mobile phone, server, or any other desired receiver. The information transferred is in raw or semi-processed state, making the information usable for further analysis and interpretation.

The sensed information can then be analysed to detect irregularities or patterns to provide warning signals or alerts. For example, information from a sensor worn an elderly person can be analysed and programmed to detect an event such as a fall, and automatically alert appropriate personal.