Session:「Wearable Technology」

TriTap: Identifying Finger Touches on Smartwatches

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025561

論文アブストラクト: The small screens of smartwatches provide limited space for input tasks. Finger identification is a promising technique to address this problem by associating different functions with different fingers. However, current technologies for finger identification are unavailable or unsuitable for smartwatches. To address this problem, this paper observes that normal smartwatch use takes places with a relatively static pose between the two hands. In this situation, we argue that the touch and angle profiles generated by different fingers on a standard smartwatch touch screen will differ sufficiently to support reliable identification. The viability of this idea is explored in two studies that capture touches in natural and exaggerated poses during tapping and swiping tasks. Machine learning models report accuracies of up to 93% and 98% respectively, figures that are sufficient for many common interaction tasks. Furthermore, the exaggerated poses show modest costs (in terms of time/errors) compared to the natural touches. We conclude by presenting examples and discussing how interaction designs using finger identification can be adapted to the smartwatch form factor.

日本語のまとめ:

スマートウォッチのタッチスクリーンで利用可能な単一フレームで行う指の識別方法を提案。接触面の指の形が明確なタッチによる指の接触領域の特徴から識別。応用例として同一のボタンでも押す指で入力が変化するキーボードを実装。

WatchSense: On- and Above-Skin Input Sensing through a Wearable Depth Sensor

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3026005

論文アブストラクト: This paper contributes a novel sensing approach to support on- and above-skin finger input for interaction on the move. WatchSense uses a depth sensor embedded in a wearable device to expand the input space to neighboring areas of skin and the space above it. Our approach addresses challenging camera-based tracking conditions, such as oblique viewing angles and occlusions. It can accurately detect fingertips, their locations, and whether they are touching the skin or hovering above it. It extends previous work that supported either mid-air or multitouch input by simultaneously supporting both. We demonstrate feasibility with a compact, wearable prototype attached to a user's forearm (simulating an integrated depth sensor). Our prototype---which runs in real-time on consumer mobile devices---enables a 3D input space on the back of the hand. We evaluated the accuracy and robustness of the approach in a user study. We also show how WatchSense increases the expressiveness of input by interweaving mid-air and multitouch for several interactive applications.

日本語のまとめ:

スマートウォッチのような小さなデバイスでは入力の効率・表現に制限があるという背景から、深度センサを用いた指先・タッチ位置の推定により、手の甲やその上の空間に入力空間を拡張させる技術を提案。将来ARやVRでの利用も期待。

Supporting Everyday Function in Chronic Pain Using Wearable Technology

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025947

論文アブストラクト: While most rehabilitation technologies target situated exercise sessions and associated performance metrics, physiotherapists recommend physical activities that are integrated with everyday functioning. We conducted a 1-2 week home study to explore how people with chronic pain use wearable technology that senses and sonifies movement (i.e., movement mapped to sound in real-time) to do functional activity (e.g., loading the dishwasher). Our results show that real-time movement sonification led to an increased sense of control during challenging everyday tasks. Sonification calibrated to functional activity facilitated application of pain management techniques such as pacing. When calibrated to individual needs, sonification enabled serendipitous discovery of physical capabilities otherwise obscured by a focus on pain or a dysfunctional proprioceptive system. A physiotherapist was invited to comment on the implications of our findings. We conclude by discussing opportunities provided by wearable sensing technology to enable better functioning, the ultimate goal of physical rehabilitation.

日本語のまとめ:

ウェアラブルセンシング技術が慢性疼痛患者のリハビリをどのように促進させるかを調査。スマートフォンのジャイロセンサを用いて、運動の度合いに応じた音をフィードバックする装置を作成。患者の能力や自己効力感、自信の向上に貢献。

SoPhy: A Wearable Technology for Lower Limb Assessment in Video Consultations of Physiotherapy

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025489

論文アブストラクト: Physiotherapists are increasingly using video conferencing tools for their teleconsultations. Yet, the assessment of subtle differences in body movements remains a challenge. To support lower limb assessment in video consultations, we present SoPhy, a wearable technology consisting of a pair of socks with embedded sensors for patients to wear; and a web interface that displays information about range of weight distribution, foot movement, and foot orientation for physiotherapists in real-time. We conducted a laboratory study of 40 video consultations, in which postgraduate physiotherapy students assessed lower limb function. We compare assessment with and without SoPhy. Findings show that SoPhy increased the confidence in assessing squats exercise and fewer repetitions were required to assess patients when using SoPhy. We discuss the significance of SoPhy to address the challenges of assessing bodily information over video, and present considerations for its integration with clinical practices and tools.

日本語のまとめ:

理学療法士によるビデオでの遠隔相談において身体動作の細かな評価をすることが困難であることから、体重の分布などをリアルタイムで送信するシステムを提案。従来よりも評価の効率が向上し、療法士の自信を持った評価に貢献。