This paper introduces the concept of online 'Innovations-Labs' (i-Labs) as location-independent c... more This paper introduces the concept of online 'Innovations-Labs' (i-Labs) as location-independent collaborative ideation spaces. We highlight the challenges and opportunities that disruptive innovations present to companies and society, and discuss how Science Fiction Prototyping and Diegetic Innovation Templating can provide a means to explore that space by acting as ideation process and a language for capturing and communicating innovations. A core hypothesis of this paper is that there are significant gains to be accrued from integrating Virtual Reality, Science Fiction Prototyping, Diegetic Innovation Templating and Innovation Labs to form an online immersive reality innovation lab which both offers better affordances and access to people wishing to undertake innovation related activities. We present details of our initial implementation of an online innovation-lab (Our HEX) which takes the form of a virtual reality space-station. We then conclude the paper by describing future directions of our work, principally, a venture which uses 'Our HEX' space-station platform, plus a supporting textbook published by Tsinghua University Press, to teach 'English, Computing and Creativity' to Chinese students. Finally the paper concludes with a summary and reflections on our work to-date.
In this paper we report on the operation and results of a pilot trial on the use of Science-Ficti... more In this paper we report on the operation and results of a pilot trial on the use of Science-Fiction Prototyping (SFP) as a means to motivate students to engage with STEM and language learning courses. In particular we describe two case studies. The first was conducted in Shijiazhuang University, China, and involved approximately 102 students following a course aimed at improving their English language abilities for computer science applications. The second case study concerned the use of micro science-fiction prototypes, in the form of Twitter-fiction, as a means of motivating pre-university students to take up STEM studies and careers. Finally, the paper concludes by describing future directions of this work
... A context-aware reminder framework, which aims to assist elderly people to live ... multiple ... more ... A context-aware reminder framework, which aims to assist elderly people to live ... multiple contexts extracted from different modules such as activity monitoring, location detection, and predefined ... to integrate various heterogeneous contexts, and to infer whether a fall or abnormal ...
2013 5th Computer Science and Electronic Engineering Conference (CEEC), 2013
ABSTRACT A real-time fall detection system is proposed to distinguish various falls during daily ... more ABSTRACT A real-time fall detection system is proposed to distinguish various falls during daily activities. Falls are detected in two steps: first a hierarchical algorithm is used to classify the motion and motionless postures such as lying, sit-tilted, sit-upright, standing and walking; it then analyzes whether the current lying or sit-tilted postures are normal or abnormal, based on posture transition and users' current position. If an abnormal lying or sit-tilted posture is determined, a fall alert will be delivered immediately; if a possible fall is raised (such as normal lying but on the ground), then a music based alert starts playing, and a fall or normal lying will be determined according to whether the user stops the alert music. The advantages of the approach are that it can distinguish various falls efficiently (in real-time within a smart phone), and can also significantly improve the “true positives” for the slow falls with a sit-tilted posture, as well as the “true negatives” for the normal lying compared to the existed fall detection algorithms.
Feature selection is a key step for activity classification applications. Feature selection ident... more Feature selection is a key step for activity classification applications. Feature selection identifiess the most relevant features and considers how to use each of the selected features in the most suitable format. This paper proposes an efficient feature selection method that organizes multiple subsets of features in a multilayer, rather than utilizing all selected features together as one large feature set. The proposed method was evaluated by 13 subjects (aged from 23 to 50) in a lab environment. The experimental results illustrate that the large number of features (3 vs. 7 features) are not associated with high classification accuracy using a (single Support Vector Machine (SVM) model 61.3% vs. 44.7%). However, the accuracy was improved significantly (83.1% vs. 44.7%), when the selected 7 features were organized as 3 subsets and used to classify 10 postures (9 motionless with 1 motion) in 3 layers via a hierarchical algorithm which combined a rule-based algorithm with 3 independent SVM models.
This paper introduces the concept of online 'Innovations-Labs' (i-Labs) as location-independent c... more This paper introduces the concept of online 'Innovations-Labs' (i-Labs) as location-independent collaborative ideation spaces. We highlight the challenges and opportunities that disruptive innovations present to companies and society, and discuss how Science Fiction Prototyping and Diegetic Innovation Templating can provide a means to explore that space by acting as ideation process and a language for capturing and communicating innovations. A core hypothesis of this paper is that there are significant gains to be accrued from integrating Virtual Reality, Science Fiction Prototyping, Diegetic Innovation Templating and Innovation Labs to form an online immersive reality innovation lab which both offers better affordances and access to people wishing to undertake innovation related activities. We present details of our initial implementation of an online innovation-lab (Our HEX) which takes the form of a virtual reality space-station. We then conclude the paper by describing future directions of our work, principally, a venture which uses 'Our HEX' space-station platform, plus a supporting textbook published by Tsinghua University Press, to teach 'English, Computing and Creativity' to Chinese students. Finally the paper concludes with a summary and reflections on our work to-date.
In this paper we report on the operation and results of a pilot trial on the use of Science-Ficti... more In this paper we report on the operation and results of a pilot trial on the use of Science-Fiction Prototyping (SFP) as a means to motivate students to engage with STEM and language learning courses. In particular we describe two case studies. The first was conducted in Shijiazhuang University, China, and involved approximately 102 students following a course aimed at improving their English language abilities for computer science applications. The second case study concerned the use of micro science-fiction prototypes, in the form of Twitter-fiction, as a means of motivating pre-university students to take up STEM studies and careers. Finally, the paper concludes by describing future directions of this work
... A context-aware reminder framework, which aims to assist elderly people to live ... multiple ... more ... A context-aware reminder framework, which aims to assist elderly people to live ... multiple contexts extracted from different modules such as activity monitoring, location detection, and predefined ... to integrate various heterogeneous contexts, and to infer whether a fall or abnormal ...
2013 5th Computer Science and Electronic Engineering Conference (CEEC), 2013
ABSTRACT A real-time fall detection system is proposed to distinguish various falls during daily ... more ABSTRACT A real-time fall detection system is proposed to distinguish various falls during daily activities. Falls are detected in two steps: first a hierarchical algorithm is used to classify the motion and motionless postures such as lying, sit-tilted, sit-upright, standing and walking; it then analyzes whether the current lying or sit-tilted postures are normal or abnormal, based on posture transition and users' current position. If an abnormal lying or sit-tilted posture is determined, a fall alert will be delivered immediately; if a possible fall is raised (such as normal lying but on the ground), then a music based alert starts playing, and a fall or normal lying will be determined according to whether the user stops the alert music. The advantages of the approach are that it can distinguish various falls efficiently (in real-time within a smart phone), and can also significantly improve the “true positives” for the slow falls with a sit-tilted posture, as well as the “true negatives” for the normal lying compared to the existed fall detection algorithms.
Feature selection is a key step for activity classification applications. Feature selection ident... more Feature selection is a key step for activity classification applications. Feature selection identifiess the most relevant features and considers how to use each of the selected features in the most suitable format. This paper proposes an efficient feature selection method that organizes multiple subsets of features in a multilayer, rather than utilizing all selected features together as one large feature set. The proposed method was evaluated by 13 subjects (aged from 23 to 50) in a lab environment. The experimental results illustrate that the large number of features (3 vs. 7 features) are not associated with high classification accuracy using a (single Support Vector Machine (SVM) model 61.3% vs. 44.7%). However, the accuracy was improved significantly (83.1% vs. 44.7%), when the selected 7 features were organized as 3 subsets and used to classify 10 postures (9 motionless with 1 motion) in 3 layers via a hierarchical algorithm which combined a rule-based algorithm with 3 independent SVM models.
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Papers by Shumei Zhang