Viscous materials such as inks, gels, pastes, and slurries are ubiquitous across domains like food science, smart materials, digital fabrication, and the arts. However, their dynamic and unpredictable behavior—shifting over time and in response to environmental factors—poses challenges, often requiring costly equipment for accurate rheological analysis. This paper presents a low-cost, accessible sensing routine that retracts and extrudes viscous materials through an air tube, generating sensor vectors rich in rheological data. By embedding data from 26 rheologically diverse materials into a two-dimensional space, we create RheoMaps that allow for tracking material changes over time, distinguishing concentrations, and tuning rheological behaviors. These maps offer practical benefits for detecting preparation errors, guiding material design and documentation, and providing tutorial waypoints. We further discuss how this approach can be extended to extract relational insights from sensor data, improving material literacy and manipulation across a range of applications.
https://dl.acm.org/doi/10.1145/3706598.3713835
The development of smart textile interfaces is hindered by the inclusion of rigid hardware components and batteries within the fabric, which pose challenges in terms of manufacturability, usability, and environmental concerns related to electronic waste. To mitigate these issues, we propose a smart textile interface and its wireless sensing system to eliminate the need for ICs, batteries, and connectors embedded into textiles. Our technique is established on the integration of multi-resonant circuits in smart textile interfaces, and utilizing near-field electromagnetic coupling between two coils to facilitate wireless power transfer and data acquisition from smart textile interface.A key aspect of our system is the development of a mathematical model that accurately represents the equivalent circuit of the sensing system. Using this model, we developed a novel algorithm to accurately estimate sensor signals based on changes in system impedance. Through simulation-based experiments and a user study, we demonstrate that our technique effectively supports multiple textile sensors of various types.
What if our clothes could capture our body motion accurately? This paper introduces Flexible Inertial Poser (FIP), a novel motion-capturing system using daily garments with two elbow-attached flex sensors and four Inertial Measurement Units (IMUs). To address the inevitable sensor displacements in loose wearables which degrade joint tracking accuracy significantly, we identify the distinct characteristics of the flex and inertial sensor displacements and develop a Displacement Latent Diffusion Model and a Physics-informed Calibrator to compensate for sensor displacements based on such observations, resulting in a substantial improvement in motion capture accuracy. We also introduce a Pose Fusion Predictor to enhance multimodal sensor fusion. Extensive experiments demonstrate that our method achieves robust performance across varying body shapes and motions, significantly outperforming SOTA IMU approaches with a 19.5% improvement in angular error, a 26.4% improvement in elbow angular error, and a 30.1% improvement in positional error. FIP opens up opportunities for ubiquitous human-computer interactions and diverse interactive applications such as Metaverse, rehabilitation, and fitness analysis. Our project page can be seen at https://fangjw-0722.github.io/FIP.github.io/
We introduce SqueezeMe, a soft and flexible inductive pressure sensor with high sensitivity made from ferromagnetic elastomers for wearable and embedded applications. Constructed with silicone polymers and ferromagnetic particles, this biocompatible sensor responds to pressure and deformation by varying inductance through ferromagnetic particle density changes, enabling precise measurements. We detail the fabrication process and demonstrate how silicones with varying Shore hardness and different ferromagnetic fillers affect the sensor's sensitivity. Applications like weight, air pressure, and pulse measurements showcase the sensor’s versatility for integration into soft robotics and flexible electronics.
https://dl.acm.org/doi/10.1145/3706598.3713369
Touchscreens and touchpads offer intuitive interfaces but provide limited tactile feedback, usually just mechanical vibrations. These devices lack continuous feedback to guide users’ fingers toward specific directions. Recent innovations in surface haptic devices, however, leverage ultrasonic traveling waves to create active lateral forces on a bare fingertip. This paper \revised{investigates the effects and design possibilities of active forces feedback in touch interactions by rendering artificial potential fields on a touchpad.Three user studies revealed that: (1) users perceived attractive and repulsive fields as bumps and holes with similar detection thresholds; (2) step-wise force fields improved targeting by 22.9% compared to friction-only methods; and (3) active force fields effectively communicated directional cues to the users. Several applications were tested, with user feedback favoring this approach for its enhanced tactile experience, added enjoyment, realism, and ease of use.
https://dl.acm.org/doi/10.1145/3706598.3714030
Sensory-substitution devices enable perceiving objects by translating one modality (e.g., vision) into another (e.g., tactile). While many explored the placement of the haptic-output (e.g., torso, forehead), the camera’s location remains largely unexplored—typically seeing from the eyes’ perspective. Instead, we propose that seeing & feeling information from the hands’ perspective could enhance flexibility & expressivity of sensory-substitution devices to support manual interactions with physical objects. To this end, we engineered a back-of-the-hand electrotactile-display that renders tactile images from a wrist-mounted camera, allowing the user’s hand to feel objects while reaching & hovering. We conducted a study with sighted/Blind-or-Low-Vision participants who used our eyes vs. hand tactile-perspectives to manipulate bottles and soldering-irons, etc. We found that while both tactile perspectives provided comparable performance, when offered the opportunity to choose, all participants found value in also using the hands’ perspective. Moreover, we observed behaviors when “seeing with the hands” that suggest a more ergonomic object-manipulation. We believe these insights extend the landscape of sensory-substitution devices.
https://dl.acm.org/doi/10.1145/3706598.3713419
Tactile charts are essential for conveying data to blind and low vision (BLV) readers but are difficult for designers to construct. Non-expert designers face barriers to entry due to complex guidelines, while experts struggle with fragmented and time-consuming workflows that involve extensive customization. Inspired by formative interviews with expert tactile graphics designers, we created Tactile Vega-Lite (TVL): an extension of Vega-Lite that offers tactile-specific abstractions and synthesizes existing guidelines into a series of smart defaults. Predefined stylistic choices enable non-experts to produce guideline-compliant tactile charts quickly. Expert users can override defaults to tailor customizations for their intended audience. In a user study with 12 tactile graphics creators, we show that Tactile Vega-Lite enhances flexibility and consistency by automating tasks like adjusting spacing and translating braille while accelerating iterations through pre-defined textures and line styles. Through expert critique, we also learn more about tactile chart design best practices and design decisions.
https://dl.acm.org/doi/10.1145/3706598.3714132