INTRODUCTION We propose to demonstrate a system that can illustrate the use of intelligent mobile sensor networks to improve health and safety compliance in the field. Over recent years there has been a significant increase in the health and safety rules and regulations that govern work practices in hazardous environments such as construction sites, factories or chemical plants. The advantages of compliance with these regulations are significant and range from the obvious benefits to workers health and well being through to improvements in productivity and reductions in compensation claims and reputation damage. Currently most health and safety rules rely on human information gathering and recording in the field with decisions being taken by workers, supervisors or back office staff processing the data off-line. Within the context of the NEMO project we are investigating the use of intelligent mobile sensor networks to improve health and safety compliance in hazardous workplaces [1,2]. In particular, we envisage a world in which physical work artefacts such as tools are augmented with cooperating mobile nodes featuring both sensors and actuators and communicating over ad-hoc wireless networks. These mobile systems would be able to observe the working activities taking place, evaluate compliance with health and safety regulations and assist or actively enforce compliance with these regulations. In order to realise this vision we have been working closely with domain experts from two major international companies. Through this collaboration we have identified a number of health and safety application scenarios. This demo proposal involves one of these scenarios, namely the prevention of injuries associated with extended use of heavy vibrating machinery such as pneumatic breakers and drills. In the context of this scenario we are using the NEMO technology in order to provide an environment where operators of vibrating machinery will be assisted in terms of health and safety. MONITORING HAV EXPOSURE Increased hand-arm vibration (HAV) exposure can lead to long term health risks including general whiteness of fingers and pain and loss of sensation in fingers (Figure 1). These symptoms are generally known as white knuckle syndrome or vibration white finger (VWF). Health and safety regulation dictate exposure levels for operatives of vibrating machinery [3]. As part of the NEMO project we developed a prototype system for monitoring vibration exposure to drill operators (Figure 2). Our approach builds on the concept of networked intelligent sensor nodes capable of monitoring compliance with health and safety regulations in the field. We developed a system consisting of two components: (1) an industrial petrol-operated drill and (2) a personal wearable device, both equipped with wireless sensor and processing components for accurate measuring and recording of vibration exposure. Specifically, we use Smart-It wireless sensor nodes [4] that communicate using a short-range wireless ad hoc network. When brought together, the drill and wearable tag co-operate to perform several functions: (1) measuring vibration on both drill and user (2) correlating vibration data to identify which operator is using the drill (as there might be several workers in the vicinity of the drill it is important to distinguish between operator and bystanders) (3) recording duration of tool usage and calculating the exposure levels of the (4) long-term storage of personal exposure data. In effect, by displaying cumulative exposure data the personal wearable tag functions much like a radiation dosimeter, through with the tool it is measuring.