Have you ever imagined what it would be like to glide over the water, the wind whipping past your face and actually feel in control the whole time? If that sounds exciting, you'll want to check out the latest electric hydrofoil from Unifoil. The Hydroflyer Sport brings something new to the table with its handlebars, giving you extra control whether you're just starting out or you're always chasing your next thrill on the water. Join the FREE "CyberGuy Report": Get my expert tech tips, critical security alerts and exclusive deals, plus instant access to my free "Ultimate Scam Survival Guide" when you sign up! The Hydroflyer Sport is an electric hydrofoiling board that lets you "fly" above the water.

Convolutional Neural Networks (CNNs) are nowadays the model of choice in Computer Vision, thanks to their ability to automatize the feature extraction process in visual tasks. However, the knowledge acquired during training is fully subsymbolic, and hence difficult to understand and explain to end users. In this paper, we propose a new technique called HOLMES (HOLonym-MEronym based Semantic inspection) that decomposes a label into a set of related concepts, and provides component-level explanations for an image classification model. Specifically, HOLMES leverages ontologies, web scraping and transfer learning to automatically construct meronym (parts)-based detectors for a given holonym (class). Then, it produces heatmaps at the meronym level and finally, by probing the holonym CNN with occluded images, it highlights the importance of each part on the classification output. Compared to state-of-the-art saliency methods, HOLMES takes a step further and provides information about both where and what the holonym CNN is looking at, without relying on densely annotated datasets and without forcing concepts to be associated to single computational units. Extensive experimental evaluation on different categories of objects (animals, tools and vehicles) shows the feasibility of our approach. On average, HOLMES explanations include at least two meronyms, and the ablation of a single meronym roughly halves the holonym model confidence. The resulting heatmaps were quantitatively evaluated using the deletion/insertion/preservation curves. All metrics were comparable to those achieved by GradCAM, while offering the advantage of further decomposing the heatmap in human-understandable concepts, thus highlighting both the relevance of meronyms to object classification, as well as HOLMES ability to capture it. The code is available at https://github.com/FrancesC0de/HOLMES.

Abstract--The placement of grab bars for elderly users is based largely on ADA building codes and does not reflect the large differences in height, mobility, and muscle power between individual persons. The goal of this study is to see if there are any correlations between an elderly user's preferred handlebar pose and various demographic indicators, self-rated mobility for tasks requiring postural change, and biomechanical markers. For simplicity, we consider only the case where the handlebar is positioned directly in front of the user, as this confines the relevant body kinematics to a 2D sagittal plane. Previous eldercare devices have been constructed to position a handlebar in various poses in space. Our work augments these devices and adds to the body of knowledge by assessing how the handlebar should be positioned based on data on actual elderly people instead of simulations.

At the tail end of last year, a curious new entry into the ebike market emerged: Urtopia. The company's mission seemed pretty clear, to make the most feature-rich, connected bike the world has ever seen. And with a built-in 4G SIM, WiFi, Bluetooth, GPS, a fingerprint reader and mmWave sensors for collision detection, it was likely accomplished. Except, the model we tested was a prototype leaving us unable to evaluate some of the more interesting features. The retail version of the bike is almost identical to the pre-production version we tested at the end of last year bar a few minor cosmetic details.

Age-related loss of mobility and increased risk of falling remain important obstacles toward facilitating aging-in-place. Many elderly people lack the coordination and strength necessary to perform common movements around their home, such as getting out of bed or stepping into a bathtub. The traditional solution has been to install grab bars on various surfaces; however, these are often not placed in optimal locations due to feasibility constraints in room layout. In this paper, we present a mobile robot that provides an older adult with a handle anywhere in space - "handle anywhere". The robot consists of an omnidirectional mobile base attached to a repositionable handle. We analyze the postural changes in four activities of daily living and determine, in each, the body pose that requires the maximal muscle effort. Using a simple model of the human body, we develop a methodology to optimally place the handle to provide the maximum support for the elderly person at the point of most effort. Our model is validated with experimental trials. We discuss how the robotic device could be used to enhance patient mobility and reduce the incidence of falls.

Rodney Brooks knows a fair bit about robots. Besides being a pioneer of academic robotics research, he has founded companies that have given the world the robot vacuum cleaner, the bomb disposal bot, and a factory robot anyone can program. Now Brooks wants to introduce another revolutionary type of robot helper--a mobile warehouse robot with the ability to read human body language to tell what workers around it are doing. Robots are increasingly working in close proximity to humans, and finding ways to maximize human-machine teamwork could help companies boost productivity and perhaps lead to new kinds of jobs rather than robots replacing people. But giving robots the ability to read human cues is far from easy.

Well, there are plenty of candidates! We've got the self- driving car and drones big enough to carry people. Elon Musk is getting ready to bore hyperloop tunnels. When it comes to moving humans around, the future looks to be merging with sci-fi. But from where I stand, the most exciting form of transportation technology is more than 100 years old--and it's probably sitting in your garage.

The internet's imagination went wild Wednesday when Nintendo announced it would reveal a "new interactive experience" for younger players. Would it be a new "Animal Crossing" game? What about a follow up to the Wii U's Miiverse online ecosystem? Nintendo threw a curveball at everyone with the announcement of Nintendo Labo, a sort of DIY setup where players young and old can make cardboard contraptions and play Nintendo Switch games with them. The trailer explains it better than a single sentence ever could.

On Tuesday in Santa Monica, Calif., BMW Group debuted a motorcycle concept so artificially intelligent that it eliminates the need for the rider to wear protective gear, including a helmet. The BMW Motorrad Vision Next 100 motorcycle is the latest incarnation of BMW's Vision Next series, which celebrates 100 years of the German brand with forward-looking concept vehicles from Rolls-Royce, Mini, and BMW. The group has been hosting events around the world this year to debut each new concept in a different city. California's event, held in an old airplane hangar, displayed the motorcycle along each of the group's other previously shown concepts. This is the fourth and final of its concepts to be shown.