{"title":"Beyond computational intelligence: blended intelligence","authors":"R. Eberhart, Daniel W. Palmer, M. Kirschenbaum","doi":"10.1109/SHBI.2015.7321679","DOIUrl":"https://doi.org/10.1109/SHBI.2015.7321679","url":null,"abstract":"This paper discusses an emerging field of computation known as blended intelligence. A definition of blended intelligence is proposed. The definition is expanded upon by examples of what blended intelligence is, and what it is not. Examples of human/computational combinations that inspire blended intelligence are reviewed, followed by predictions of possible initial applications of blended intelligence.","PeriodicalId":439304,"journal":{"name":"2015 Swarm/Human Blended Intelligence Workshop (SHBI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114759209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Richard B. Woodward, S. Shefelbine, R. Vaidyanathan
{"title":"Integrated grip switching and grasp control for prosthetic hands using fused inertial and mechanomyography measurement","authors":"Richard B. Woodward, S. Shefelbine, R. Vaidyanathan","doi":"10.1109/SHBI.2015.7321689","DOIUrl":"https://doi.org/10.1109/SHBI.2015.7321689","url":null,"abstract":"We present a novel method for tracking arm movement and muscle activity simultaneously in real-time with application to prosthesis hand manipulation and multi-robot systems. The system utilises mechanomyography (MMG), a low frequency rumble produced by contracting muscle, to control grasping, and an inertial measurement unit (IMU) to change the hand gesture through specific arm orientations. Current gesture control systems rely on either robot vision or a user physical action, such as the pressing of a button or physical interaction with the robot, in order to change the hand gesture; both are not feasible for control in the field. Using custom made IMU and MMG sensors we combine information in order to both control a robotic hand and change its gesture remotely. The system has been tested on a prosthetic hand for grasp control, with results showing very quick user adoption to the method with minimal false commands. Furthermore, we compare our method with electromyography (EMG) methods and take into account the donning and doffing times required for both EMG and MMG sensors. Future work will involve the implementation of the system for a range of robotic control applications, including human augmentation and human control of multi-robot systems.","PeriodicalId":439304,"journal":{"name":"2015 Swarm/Human Blended Intelligence Workshop (SHBI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120852804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Alder, Samuel J. McDonald, Mark B. Colton, M. Goodrich
{"title":"Toward haptic-based management of small swarms in cordon and patrol","authors":"C. Alder, Samuel J. McDonald, Mark B. Colton, M. Goodrich","doi":"10.1109/SHBI.2015.7321675","DOIUrl":"https://doi.org/10.1109/SHBI.2015.7321675","url":null,"abstract":"Distributed teams of agents can provide robust solutions to many problems of interest, and allowing a human to influence and manage those agents can extend the range of problems that can be solved while improving the team's efficiency. Within this context, it is interesting to develop methods for interaction that are intuitive and that utilize haptic interaction so that the human manager need not be \"heads down\" in a graphical user interface. This paper presents a set of agent control algorithms that yield useful team performance and enable haptic-based management of team behaviors. A preliminary demonstration of the system is also presented.","PeriodicalId":439304,"journal":{"name":"2015 Swarm/Human Blended Intelligence Workshop (SHBI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114081506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}