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This paper reports on experimental trials with an Under Mattress Bed Sensor (UMBS), an easily deployable, non-contact, low cost alternative to the actigraphy watch for sleep monitoring. Results from a home-based study of elderly subjects confirm accurate temporal resolution of activity monitoring in bed. UMBS activity classification thresholds were determined by maximizing Matthew's Correlation Coefficient between the activity data captured using an actigraphy watch and the proposed sensor. Preliminary results on a healthy young subject showed very high agreement rates justifying its use as a replacement for wrist actigraphy.

This paper describes an autonomous mobile device that was designed, developed and implemented as a library assistant robot. A complete autonomous system incorporating human-robot interaction has been developed and implemented within a real world environment. The robotic development is comprehensively described in terms of its localization systems, which incorporates simple image processing techniques fused with odometry and sonar data, which is validated through the use of an extended Kalman filter (EKF). The essential principles required for the development of a successful assistive robot are described and put into demonstration through a human-robot interaction application applied to the library assistant robot.

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