Glove Pressure Mapping System The Glove Pressure Mapping System (GPMS) is a multi-sensor hand force data acquisition system that consists of an Ultrathin Glove Mat and a Computer Interface. The GPMS incorporates the ISS sensors in 20 and 24 sensor configurations. The sensor locations can easily be modified by the customer and are mounted using double-sided tapes. The GPMS has various ergonomics applications including hand-tool analysis, design and research, as well as clinical applications. Twenty and twenty-four sensors are used in the standard configurations that results in a sampling rate of over 100 Hz. Sample Results Glove Configurations Gloves are designed to fit both left and right hands (ambidextrous) and can be ordered in various sizes as shown below: How to Measure for Proper SizingTake a measuring tape and wrap around the hand over the knuckles. Specifications *Variation Coefficient is the Standard Deviation expressed as a percentage. Additional Hardware: A calibration jig (normally high pressure) is required.
A Computer Chip With a Brain’s ‘Plasticity’ - Ideas Market By Christopher Shea Unlike what happens in computer-chip circuits, electrical connections between neurons in the brain don’t simply turn on and off: Low-level electrical current—channels of ions—continue to flow, even when a neuron isn’t actively firing. This strengthens neuron networks, and is one way the brain changes (and learns). A Harvard-MIT medical-science lab has now, for the first time, created a chip that can mimic this aspect of the brain’s malleability, or “plasticity.” The chips will be useful in modeling certain brain functions, such as visual processing, their creators say, and will act in a more realistic fashion than computer models do. NovaSensor medical pressure sensor – NPC-100 1. Definitions Unless otherwise agreed to by Licensor, the following terms shall mean: “Documentation” means all material, including all printed material and on-line or electronic documentation (excluding training materials), referencing the Software and Third-Party Software provided hereunder. “Software” means Licensor’s proprietary computer software and software security devices provided by Licensor under this License. “Third-Party Software” means any proprietary computer software owned by a third party that Licensor may provide to you hereunder. 2. 2.1 Subject to the terms of this License, Licensor hereby grants to you a non-transferrable and nonexclusive license to use the Software and Documentation, including upgraded, modified or enhanced versions provided by Licensor and to use the Third-Party Software, all for your internal business purposes only 2.3 Certain software Licensor provides to you may contain Third-Party Software, including but not limited to “open source” software. 3.
softwear Sensor Detects Emotions through the Skin The beta version of the device will be available to researchers and educators in November for around $2,000, says Picard. She cautions that heightened skin conductance is not an absolute measurement of stress, because it applies to excitement as well as distress. She says the information needs to be evaluated in context. Additionally, stress levels can be hard to accurately detect when the wearer is taking medication or has attention deficit hyperactivity disorder or attention deficit disorder. The Q Sensor can be worn as part of a wristband or a smaller module that can slip beneath a sweatband or baseball cap to make it discreet. Though Picard has largely focused on using the sensor with autistic children, a team at Children’s Hospital in Boston is using the Q sensors with epileptic patients in order to understand more about the onset of seizures. “The beauty of this is, it’s a way of providing feedback and intervention that is much less socially intense,” Werner says.
The Media Computing Group : Human Computer Interaction TinyOS Documentation Wiki LASR - Longitudinal Analysis and Self Registration LASR - Data Mining Tool for Rehabilitation Engineering Data Xiaofeng Wang1,2, Jiayang Sun1 and Kath Bogie1,3 Case Western Reserve University1, The Cleveland Clinic2 and Cleveland FES Center3 Development of medical and computer technology in the last two decades have enabled us to collect huge amounts of data in both spatial and temporal dimensions. Our research is concerned with the spatial-temporal data mining motivated by analyzing data from our "Neuromuscular Electrical Stimulation" experiment. (1) data segmentation for separating heterogeneous data and for distinguishing outliers, (2) automatic approaches for spatial and temporal data registration, (3) statistical smoothing mapping for identifying "activated'' regions based on generalized false discovery rate (FDR) controlled p-maps/movies from "large-p-small-n'' data sets. Our new procedure should be applicable to other types of spatial-temporal data sets beyond those from the NMES experiment. Reference: X. KM Bogie, RJ Triolo.
Real-Time Data And A More Personalized Web Advertisement As Web designers, we face a daily struggle to keep pace with advances in technology, new standards and new user expectations. We spend a large part of our working life dipping in and out of recent developments in an attempt to stay both relevant and competitive, and while this is what makes our industry so exciting to be a part of, it often becomes all too easy to get caught up in the finer details. Since the arrival of the new Web, we’ve been enraptured by social media. Web gurus and industry analysts are simultaneously arriving at the same conclusion: we are entering a new chapter in the evolution of the Web. Welcome to the new era. Real-Time Data Serving up real-time data is an effective way to keep users interested and to persuade them to become return visitors. When considering the implementation of a real-time data visualization, think of your users. Question: What do Google Analytics and printed newspapers have in common? A More Personalized Web Summary Other Resources