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Technological advances in sensors and communications have enabled discrete integration into everyday objects, both in the home and about the person. Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent. To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs. This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications. The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring. A snap-shot of current commercially available sensors is also provided, focusing on their sensing capability, and a commentary on the gaps that need to be bridged to bring research to market.

Technological advances in sensors and communications have enabled discrete integration into everyday objects, both in the home and about the person. Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent. To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs. This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications. The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring. A snap-shot of current commercially available sensors is also provided, focusing on their sensing capability, and a commentary on the gaps that need to be bridged to bring research to market.

Selection of hardware and software is a complicated task involving the consideration of multiple criteria decision making 1993 as well as the expertise of the decision maker. Two MCDM studies examined whether or not expertise in database management systems (DBMS) would facilitate selection among DBMS alternatives. The results of the first study suggest that (I) experts seemed to exhibit more agreement on criterion weights than did novices, (2) experts were about twice as consistent in applying the weights they assigned to the choice task compared to novices, (3) novices tended to rate criteria with scores that were closer to the neutral midpoint than did experts, and (4) experts made different choices than did novices. Consistency was assessed using two different quantitative measures; one was based on ordinality and the other on position. In the second study, concurrent verbal protocols showed that experts tended to bring their own experience to the choice task, were distracted less frequently, and used superior strategies in elimination of weakest alternatives. This implies that staff members with significant domain expertise should be used in DBMS acquisition tasks. Future research should determine whether or not these findings generalize to other task domains. © 1993, ACM. All rights reserved.

Selection of hardware and software is a complicated task involving the consideration of multiple criteria decision making 1993 as well as the expertise of the decision maker. Two MCDM studies examined whether or not expertise in database management systems (DBMS) would facilitate selection among DBMS alternatives. The results of the first study suggest that (I) experts seemed to exhibit more agreement on criterion weights than did novices, (2) experts were about twice as consistent in applying the weights they assigned to the choice task compared to novices, (3) novices tended to rate criteria with scores that were closer to the neutral midpoint than did experts, and (4) experts made different choices than did novices. Consistency was assessed using two different quantitative measures; one was based on ordinality and the other on position. In the second study, concurrent verbal protocols showed that experts tended to bring their own experience to the choice task, were distracted less frequently, and used superior strategies in elimination of weakest alternatives. This implies that staff members with significant domain expertise should be used in DBMS acquisition tasks. Future research should determine whether or not these findings generalize to other task domains. © 1993, ACM. All rights reserved.

The local invariants of a mixed two-qubit system are discussed. These invariants are polynomials in the elements of the corresponding density matrix. They are counted by means of group-theoretic branching rules which relate this problem to one arising in spin–isospin nuclear shell models. The corresponding Molien series and a refinement in the form of a four-parameter generating function are determined. A graphical approach is then used to construct explicitly a fundamental set of 21 invariants. Relations between them are found in the form of syzygies. By using these, the structure of the ring of local invariants is determined, and complete sets of primary and secondary invariants are identified: there are 10 of the former and 15 of the latter.

The local invariants of a mixed two-qubit system are discussed. These invariants are polynomials in the elements of the corresponding density matrix. They are counted by means of group-theoretic branching rules which relate this problem to one arising in spin–isospin nuclear shell models. The corresponding Molien series and a refinement in the form of a four-parameter generating function are determined. A graphical approach is then used to construct explicitly a fundamental set of 21 invariants. Relations between them are found in the form of syzygies. By using these, the structure of the ring of local invariants is determined, and complete sets of primary and secondary invariants are identified: there are 10 of the former and 15 of the latter.